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Keysubstraterecognitionresiduesintheactivesiteofa plant
cytochrome P450, CYP73A1
Homology model guided site-directed mutagenesis
Guillaume A. Schoch
1
, Roger Attias
2
, Monique Le Ret
1
and Danie
`
le Werck-Reichhart
1
1
Department ofPlant Stress Response, Institute ofPlant Molecular Biology, Universite
´
Louis Pasteur, Strasbourg, France;
2
Laboratoire de Chimie et Biochimie Pharmacologiques et Toxicologiques, Universite
´
Paris V, 45 Paris, France
CYP73 enzymes are highly conserved cytochromes P450 in
plant species that catalyse the regiospecific 4-hydroxylation
of cinnamic acid to form precursors of lignin and many other
phenolic compounds. ACYP73A1 homology model based
on P450 experimentally solved structures was used to iden-
tify activesiteresidues likely to govern substrate binding and
regio-specific catalysis. The functional significance of these
residues was assessed using site-directed mutagenesis. Active
site modelling predicted that N302 and I371 form a hydro-
gen bond and hydrophobic contacts with the anionic site or
aromatic ring ofthe substrate. Modification of these residues
led to a drastic decrease insubstrate binding and metabolism
without major perturbation of protein structure. Changes to
residue K484, which is located too far intheactivesite model
to form a direct contact with cinnamic acid inthe oxidized
enzyme, did not influence initial substrate binding. However,
the K484M substitution led to a 50% loss in catalytic
activity. K484 may affect positioning ofthesubstratein the
reduced enzyme during the catalytic cycle, or product
release. Catalytic analysis ofthe mutants with structural
analogues of cinnamic acid, in particular indole-2-carboxylic
acid that can be hydroxylated with different regioselectivi-
ties, supports the involvement of N302, I371 and K484 in
substrate docking and orientation.
Keywords: active site; cinnamate 4-hydroxylase; homology
modeling; plantcytochrome P450; site-directed muta-
genesis.
CYP73 designates a family ofplant cytochromes P450 that
evolved with or before the evolution of vascular plants. Up
to 20% ofthe woody plant biomass is processed by CYP73
enzymes to form lignin monomers, UV-shielding or insect
attracting pigments, and defensive compounds [1,2]. CYP73
enzymes belong to the same subfamily, i.e. share more than
55% amino acid identity, and catalyse the regiospecific
4-hydroxylation of trans-cinnamic acid into p-coumaric acid
[3–5]. The importance of this reaction inplant biology seems
to have precluded further evolution and diversification of
the CYP73A P450 subfamily to the processing of other
endogenous metabolites.CYP73A1was one ofthe first
plant P450 genes isolated [6]. Expression in yeast indicated
that the cinnamate 4-hydroxylase (C4H) activity proceeds
with a perfect coupling of oxygen consumption and
reducing equivalents to produce hydroxylated substrates
[3]. CYP73A1 provides a good model for determining the
residues that control catalytic efficiency and optimal
substrate positioning ina typical plant P450 enzyme
contributing to a high throughput anabolic pathway.
CYP73A1 is one ofthe most extensively studied plant
P450 enzymes. It has a quite high substrate specificity but
can accommodate a diverse array of compounds, as far as
they are structural analogues ofthe natural substrate.
Structural requirements for such analogues include a planar,
aromatic structure, a small size of about two adjacent
aromatic rings, and an anionic site opposite (i.e. at about
8.5 A
˚
) to the position of oxidative attack [7,8]. A recent site-
directed mutagenesis study that investigated the role of
unusual residuesinthe most conserved regions involved in
haem binding and oxygen activation [9], suggested that
some are likely to contribute to the optimal coupling of the
C4H reaction. The protein residues that govern substrate
recognition and orientation have not yet been identified.
In order to obtain information on the orientation and
positioning ofthe substrates intheactive site, we have
recently engineered a stable and water-soluble form of
CYP73A1 that is suitable for
1
H-NMR paramagnetic
relaxation experiments [10]. The results ofthe NMR
analysis indicated that the average initial orientation of
the substrates inthe catalytic siteofthe resting Fe(III)
protein is roughly parallel to the haem. We decided to use a
structure-based approach to site-directed mutagenesis in
order to identify residues that affect substrate binding and
turnover. However, only one structure for a membrane-
bound P450 protein was available [11]. We thus had to rely
on a homology model based on soluble P450 structures
to predict residues that might participate inthe substrate
recognition and docking. In this paper, we report the
Correspondence to D. Werck-Reichhart, Department ofPlant Stress
Response, Institute ofPlant Molecular Biology, CNRS-UPR2357,
Universite
´
Louis Pasteur, 28 rue Goethe, F-67000 Strasbourg, France.
Fax: +33 3 90 24 18 84, Tel.: + 33 3 90 24 18 54,
E-mail: daniele.werck@ibmp-ulp.u-strasbg.fr
Abbreviations:CA,trans-cinnamic acid; C4H, cinnamate 4-hydroxy-
lase; IAA, indole-3-acetic acid; I2C, indole-2-carboxylic acid;
I3C, indole-3-carboxylic acid; 7MC, 7-methoxycoumarin;
NA, 2-naphthoic acid; SRS, substraterecognition site.
(Received 24 March 2003, revised 28 May 2003, accepted 2 July 2003)
Eur. J. Biochem. 270, 3684–3695 (2003) Ó FEBS 2003 doi:10.1046/j.1432-1033.2003.03739.x
construction ofaCYP73A1 model, the identification of
residues likely to form contacts with the substrate, and the
confirmation by site-directed mutagenesis ofthe involve-
ment of some of these residuesinthe docking and catalysis
of cinnamic acid. The impact oftheactivesite mutations on
the binding and metabolism of cinnamic acid analogues is
also described.
Experimental procedures
Chemicals
Trans-cinnamic acid (CA), trans-cinnamaldehyde, indole-
3-acetic acid (IAA), indole-2-carboxylic acid (I2C), indole-
3-carboxylic acid (I3C), 7-methoxycoumarin (7MC),
2-naphthoic acid (NA), phenylpyruvic acid, NADPH and
umbelliferone were from Sigma-Aldrich (l’Isle d’Abeau
Chesnes, France). trans-Cinnamylic alcohol and 6-hydroxy-
2-naphthoic acid were from Lancaster Synthesis (Stras-
bourg, France).
L
(–)-Phenylalanine and naphthalene-1-acetic
acid were from Merck (Schuchardt, Germany). 2-Amino-
quinoline and 2-phenoxyacetamidine were from Maybridge
(Tintagel, UK), 5-hydroxy-2-indolecarboxylic acid was
from Acros Organics (Noisy-Le-Grand, France), trans-
[3-
14
C]cinnamate was from Isotopchim (Ganagobie,
France). 4-Propynyl-oxybenzoic acid was a gift from
W. Alworth (Tulane University, New Orleans).
Mutagenesis
The modified CYP73A1 cDNAs were generated using
QuickChange
TM
Site-Directed Mutagenesis (Stratagene)
using as a template the double-stranded wild-type
CYP73A1 cDNA from Helianthus tuberosus (GenBank
Z17369) subcloned as an EcoRI–BamHI fragment into the
shuttle vector pYeDP60 [12] and the primers listed in
Table 1. PCR mixtures (40 lL) contained 250 l
M
of each
dNTP, 0.5 l
M
each primer, 30 ng template DNA, 2.5 U
Pfu DNA polymerase (Stratagene), 20 m
M
Tris/HCl
pH 8.75, 10 m
M
KCl, 6 m
M
(NH
4
)
2
SO
4
,2m
M
MgSO
4
,
0.1% Triton X-100 and 10 lgÆmL
)1
BSA. The polymerase
was added after preheating for 2 min at 95 °C. Thirteen
cycles of amplification (90 °C, 1 min; specific annealing
temperatures for each set of primers given in Table 1, 90 s
and 72 °C, 22 min) followed by 10 min extension at 72 °C.
Parental methylated DNA was selectively digested with
DpnI before transformation of Escherichia coli. The inserts
of the selected neosynthetized vectors were fully sequenced.
As neosynthetized DNA is not a template for the reaction,
the amplification is linear, which is expected to keep the
error frequency low inthe final PCR product. Two
problems were, however, encountered in our experiments:
additional mutations around thesiteof mutagenesis and a
large proportion of wild-type vectors were frequently
obtained. As controls showed that the parental DNA was
digested, this was attributed to poor primer synthesis or
correcting properties ofthe polymerase.
Yeast expression and microsome preparation
The pYeDP60 vector [12] and the modified strain of
Saccharomyces cerevisae W(R) over-expressing its own
NADPH-P450 reductase were used for the expression of
the constructs [13]. Yeast transformation was performed as
described in [14], growth and induction were based on the
high density procedure described in [15]. To achieve optimal
expression, a yeast colony grown on an SGI plate was
tooth-picked into 50 mL SGI and grown for 18 h at 30 °C
to a density of 6 · 10
7
cellsÆmL
)1
. This preculture was
diluted in YPGE to a density of 2 · 10
5
cellsÆmL
)1
,and
grown for 30–31 h until it reached a density of 8 · 10
7
cellsÆmL
)1
. Protein expression was induced by addition of
10% aqueous solution of galactose at 200 gÆL
)1
.Final
density after 17 h of induction at 28 °C was routinely
around 2 · 10
8
cellsÆmL
)1
. Microsomal membranes were
isolated by ultracentrifugation after mechanical disruption
of the yeast cells with glass beads [15]. Microsomes from
W(R)transformedwithvoidpYeDP60wereusedasa
negative control.
Spectrophotometric measurements and catalytic activity
P450 content was calculated from CO-reduced vs. reduced
difference spectra [16]. Low to high-spin conversion and
Table 1. PCR primers used for site-directed mutagenesis. The DKR primer, meant to generate K248T/R249M double mutants, actually produced
the D247E/K248T/R249M and K248T/R249M/I371K triple mutants.
Mutant Sense Primer Antisense Primer T
m
R101M 5¢-GAGTTTGGTTCGATGACAAGGAATGTTG-3¢ 5¢-CAACATTCCTTGTCATCGAACCAAACTC-3¢ 58
R103M 5¢-GTTCGAGAACAATGAATGTTGTGTTC-3¢ 5¢-GAACACAACATTCATTGTTCTCGAAC-3¢ 55
R103E 5¢-GAACACAACATTCTCTGTTCTCGAACC-3¢ 5¢-GGTTCGAGAACAGAGAATGTTGTGTTC-3¢ 55
DKR 5¢-GAAGTTAAAGATACAATGATTCAGCTC 5¢-GAGCTGAATCATTGTAACTTTAACTTC-3¢ 48
N302D 5¢-CATTGTTGAAGACATCAATGTTG-3¢ 5¢-CAACATTGATGTCTTCAACAATG-3¢ 43
N302F 5¢-CTTTACATTGTTGAATTCATCAATGTTGCAGC-3¢ 5¢-GCTGCAACATTGATGAATTCAACAATGTAAAG-3¢ 43
I303A 5¢-CATTGTTGAAAACGCTAATGTTGCAG-3¢ 5¢-CTGCAACATTAGCGTTTTCAACAATG-3¢ 52
R366M 5¢-CAAGGAAACCCTCATGCTCCGTATG-3¢ 5¢-CATACGGAGCATGAGGGTTTCCTTG-3¢ 55
R368K 5¢-CCCTCCGTCTCGAAATGGCGATCCG-3¢ 5¢-CGGGATCGCCATTTCGAGACGGAGGG-3¢ 50
R368F 5¢-CCCTCCGTCTCTTTATGGCGATCCG-3¢ 5¢-CGGGATCGCCATAAAGAGACGGAGGG-3¢ 50
I371F 5¢-TCCGTATGGCGTTCCCGCTTCTAGTC-3¢ 5¢-GACTAGAAGCGGGAACGCCATACGGA-3¢ 58
I371A 5¢-TCCGTATGGCGGCTCCGCTTCTAGTC-3¢ 5¢-GACTAGAAGCGGAGCCGCCATACGGA-3¢ 58
I371K 5¢-TCCGTATGGCGAAACCGCTTCTAGTC-3¢ 5¢-GACTAGAAGCGGTTTCGCCATACGGA-3¢ 58
K484M 5¢-GATACCGATGAGATGGGTGGGCAGTTTAG-3¢ 5¢-CTAAACTGCCCACCCATCTCATCGGTATC-3¢ 58
Ó FEBS 2003 Keyresidues for substraterecognitioninCYP73A1 (Eur. J. Biochem. 270) 3685
dissociation constants of enzyme–ligand complexes were
evaluated from Type I ligand binding spectra using the
e
peak-trough
¼ 125Æm
M
)1
Æcm
)1
[7]. Integrity ofthe enzyme
was checked at the end of each titration experiment by
recording a difference spectrum ofthe CO-reduced protein.
Cytochrome c reductase activity ofthe NADPH-cyto-
chrome P450 reductase was assayed as in [17]. Trans-CA
hydroxylation was assayed using radiolabelled trans-
[3-
14
C]CA and TLC analysis ofthe metabolites [18]. For
determination ofthe kinetic constants, data were fitted using
the nonlinear regression program
DNRPEASY
derived from
DNRP53 [19].
I2C and I3C hydroxylations were assayed ina total
volume of 200 lL 100 m
M
sodium phosphate pH 7.4
containing 600 l
M
NADPH, 100 l
M
substrate and 70 lg
yeast microsomal protein. Incubations, at 27 °Cfor20min
for measurement of catalytic activity and for 90 min for
products identification, were stopped by the addition of
20 lL 4 N HCl. Reaction products were extracted three
times with two vols ethyl acetate, the organic phases were
pooled and evaporated under argon. The residue was
dissolved in acetonitrile, water, acetic acid (10 : 90 : 0.2,
v/v/v) and analysed by reverse-phase HPLC (LiChrosorb
RP-18 Merck, 4 · 125 mm, 5 lm); flow rate 1 mLÆmin
)1
;
5 min isocratic, then 20 min linear gradient from 10 to 52%
acetonitrile. Negative controls incubated with W(R) yeast
microsomes were used to test for CYP73-independent
reactions and to evaluate extraction yields. Product elution
was monitored by photodiode array detection. Retention
times of I3C and its oxygenated product were 13 and
6.5 min, respectively. Products of I2C incubation were
collected, evaporated and submitted to MS analysis on a
BioQ triple quadrupole (Micromass).
Phenylalanine, which is insoluble at pH 7.4, was dissolved
in sodium borate 100 m
M
pH 8.3. Phenylalanine and
2-phenoxyacetamidine hydroxylations were assayed by
HPLC under similar conditions as I2C and I3C, excepted
for phenylalanine mobile phase (isocratic 5% acetonitrile,
7.5 m
M
(NH
4
)
2
PO
4
,7.5m
M
HCl). NA hydroxylation was
assayed by fluorometry [7] in 2 mL 100 m
M
sodium
phosphate pH 7.4 containing 0.2, 0.5 or 1 mg yeast micro-
somal protein, 600 l
M
NADPH, and 100 l
M
substrate.
Product formation was monitored for 10 min at 30 °C.
7MC hydroxylation was assayed as in Werck-Reichhart
et al. [20] with 1 mg microsomal protein inthe assay.
Modelling programs and calculations
Calculations were carried out on an Indy Silicon Graphics
computer. Common structural blocks were determined
previously using the
GOK
interactive program [21]. Side
chain atoms determination, distance and dihedral con-
straints calculation, rotamer selection, and data analysis
were performed by writing macros in
BCL
language from
Accelrys (MSI), in
AWK
language, in
UNIX
macros, and by
using the functionalities of
INSIGHTII
and
BIOPOLYMER
modules from Accelrys. The program
DYANA
that calculates
the initial minimized model, was designed for NMR
applications. It was modified (mainly the array sizes) in
order to handle the large number of constraints generated
by this method (about 35 000 constraints were kept for the
present application). The input data to the modified
DYANA
program are then no longer NMR constraints, but
geometrical distances and torsions derived statistically from
the templates.
DYANA
minimization includes Van de Waals’
interaction calculations, and proposes its best solution from
a starting conformation.
Structures were analysed by using the
PROCHECK
package
and Accelrys
INSIGHTII
. Model minimization was further
refined with the functionalities of Accelrys
DISCOVER
3
(version 97.0, Force Field CVFF and ESFF when including
the haem iron atom). At this stage, electrostatic interactions
are included inthe minimization process. At each of the
modelling steps, models are selected on the basis of quality
scores supplied by the related program (f factor in
DYANA
,
or
PROCHECK
G-factors scoring ideally above )0.5 for
instance).
Construction ofthe models
Homology models ofcytochrome P450 CYP73A1 were
constructed using building blocks corresponding to com-
mon P450 three-dimensional substructures (or common
structural blocks) ofthe four structures (P450
BM3
,
P450
CAM
,P450
TERP
,andP450
eryF
) available from the
Brookhaven PDB at the start of this work as entries 2HPD,
3CPP, 1CPT and 1OXA, respectively. Common structural
blocks were determined for the four structures by Jean et al.
[21] using the program
GOK
and the related strategy. For
specified tolerance parameters, this program performs a
multiple structure comparison from internal coordinates
(we used Alpha, Tau). Consensus sequence ofthe blocks
were then independently located inCYP73A1 using a
multiple alignment ofthe available CYP73 sequences. For
assigning three-dimensional coordinates to the common
structural blocks in CYP73A1, we used a procedure
implemented for modelling the CYP2Cs [22], and based
on the adaptation ofa technique designed for deriving
structures from NMR data [23].
The atoms ofthe side chains showing identical spatial
location when superimposing each set ofresidues were
considered as conserved atoms. They were identified and
added to the list ofthe block backbone conserved atoms.
These side chain atoms also provide the resulting rotamer
value for the related target residue. Other rotamers, for
residues with no conserved side chain atom, were attributed
by using a rotamer library [24].
From the three-dimensional coordinates ofthe common
structural blocks, we derived a set of geometrical constraints
(mean distances between two atoms, mean Phi and Psi
values), and their standard deviations. The distance cutoff
between two atoms was set to 5 A
˚
, except for interblock CB
atoms where no cutoff was given in order to reflect the more
flexible relative location ofthe blocks. These constraints
constitute, within a tolerance interval, the spatial informa-
tion that was used to build the model. The
DYANA
program
was then used to calculate initial random coordinates of the
target protein and performed minimization under this set of
distance and dihedral constraints [25]. The loops between
the blocks were built with no constraints. From each model,
Phi and Psi additional constraints for nonconserved residues
were derived in order to restrain them in an allowed region
of the Ramachandran region.
DYANA
was then rerun and
proposed a family of models. Minimization refinements and
3686 G. A. Schoch et al. (Eur. J. Biochem. 270) Ó FEBS 2003
docking were performed for a set of selected models. The
PROCHECK
program [26] was applied as a help to the
selection ofthe models.
Results
Modelling theactivesiteof CYP73A1
CYP73A1 does not show strong identity with any of the
P450 proteins that have been crystallized. Also, it does not
reliably align with the sequences of known structures in
areas other than the most conserved regions common to all
P450 enzymes. ACYP73A1 homology model was built
using the computational strategy, previously described by
Jean et al. [21] and further improved by Minoletti [22], that
identifies substructures, or structurally conserved blocks, in
the crystal structures of related proteins, and then locates
similar blocks inthe target sequence. Common structural
blocks ofthe four P450 structures (P450
BM3
,P450
CAM
,
P450
TERP
, and P450
eryF
) available from the Brookhaven
PDB at the start of this work were located inthe CYP73A1
sequence as represented in Fig. 1. Common structural
blocks were used to assign three-dimensional coordinates to
the corresponding blocks in CYP73A1. The resulting model
of theCYP73A1 core structure and activesite region is
represented in Fig. 2. The advantage of this approach is that
it merges structural information from several known
structures into the target protein rather than producing a
model that is based on a single structure. All techniques are
limited by the prediction ofthe protein alignments, but
integration of information from multiple structures has
some chances to be better when, as in our case, protein
identities are very low.
The 6–8 A
˚
distances between thesubstrate protons and
the haem iron were recently deduced from
1
H paramagnetic
relaxation experiments [10] indicate that CA initially binds
roughly parallel to the haem inthe oxidized CYP73A1. The
carboxylic function, which can be replaced by other anionic
groups, was previously shown to be an essential determinant
of substrate docking intheactivesite [7,8]. An ionic or
hydrogen bond is likely to anchor CA to a cationic or
hydrophilic residue ofthe protein. These data suggest that a
set ofresidues within 5–9 A
˚
above haem iron could be
considered putative activesite contacts and tested by site-
directed mutagenesis. A search ofthe model for hydrophilic
residues likely to form a hydrogen bond with the substrate
pointed to N302 inthe I helix as a good carboxylate binding
candidate as it is one turn away from the so-called oxygen
groove. A set of cationic residues that were predicted to
reside inthe substrate-binding regions (substrate recognition
sites or SRS [27]), in particular SRS 1, 3 and 5, on the basis
of a multiple alignments with bacterial and mammalian
enzymes, were also chosen for mutagenesis to circumvent
model-prediction inaccuracy. Based on SRS predictions, the
modified cationic residues included R101, R103, K248,
R249, R366, R368 and K484. Only K484 was predicted in
the substrate pocket in our model. However, its distance to
the haem seemed too large to allow direct interaction with
the substrate anionic site.
Hydrophobic contacts with the aromatic ring of the
substrate were also investigated. A306 modification was
previously shown to adversely affect the binding of cinna-
mate and the coupling ofthe hydroxylation reaction [9].
This effect was probably due to a direct interaction of its
side-chain with the aromatic ring ofthe substrate. Our
model supports this hypothesis. The model predicts that
I371 is another residue in close proximity to the substrate.
I371 aligns with F361 inthe limonene 6-hydroxylase, a
residue that was shown to control the regioselectivity of
limonene hydroxylation by CYP71Ds [28]. Finally, I303 is
located close enough to the putative substrate pocket to
form a hydrophobic contact. However, such a contact
would be precluded inthe hypothesis ofa van der Waals’
interaction with I371 and a hydrogen bond to N302.
Substitute residues were chosen to alter charge and
hydrophilicity with minimal change alteration to side chain
Fig. 1. Predicted location ofthe conserved structural blocks and SRSs
on the primary sequence of CYP73A1. Sequence alignments of
CYP73A1 with the common structural blocks of four bacterial crystal
structures (P450
BM3
, P450
CAM
, P450
TERP
,andP450
eryF
)predicted
some ofthesubstraterecognition sites regions. SRS locations were
corroborated on the basis ofa multiple alignment with the four bac-
terial enzymes also including some members ofthe CYP2 and CYP73
families. CYP73A1 putative SRSs determined on the basis of this
alignment are underlined (numbered 1–6 from N to C terminal) and
residues selected for directed mutagenesis are indicated by stars. The
region interblocks inCYP73A1 are displayed in grey. For the bacterial
sequences only the common structural blocks are represented, the
identity between sequences is shaded in black, similarity is shaded in
grey (threshold of 70%).
Ó FEBS 2003 Keyresidues for substraterecognitioninCYP73A1 (Eur. J. Biochem. 270) 3687
bulk, except inthe case of hydrophobic contacts for which
the influence of side-chain size was investigated. The
consecutive residues K248 and R249 were modified simul-
taneously to avoid charge compensation. As the desired
double mutations were not obtained, we analysed the triple
mutants D247E/K248T/R249M (DKR) and K248T/
R249M/I371K (KRI).
Impact of mutations on the structure and stability
of the protein
The impact of amino acid substitutions on protein stability
was investigated using the initial CO-difference spectra of
the reduced enzyme to quantify amounts of properly folded
protein with correct incorporation of haem. The time- and
temperature-dependent disappearance ofthe peak at
450 nm was monitored as well as any conversion of P450
into P420 that would reflect disruption ofthe haem–thiolate
bond [29], to test the stability ofthe core structure. High and
fast P450 disappearance usually correlated with decreased
yeast expression and indicated a link between improper
folding or stability loss and expression levels ofthe mutant
protein.
Immunoblot quantification ofthe apoprotein content in
yeast microsomes using antibodies raised against purified
CYP73A1 [30] revealed decreases in polypeptide expression
of the mutants that did not exceed 40% compared to the
wild-type construct. Carbon monoxide difference spectra
detected the presence of haem in all ofthe mutants,
although very low CO-binding was obtained with R366M,
R101M or for the triple mutants (Table 2). The modifica-
tions to residues I303, I371, R103 and K484 did not appear
to affect the production of haem protein.
P450 disappearance followed pseudo-first order kinetics.
Under standard conditions, i.e. when P450 spectra were
recorded inthe presence of 0.5 mgÆmL
)1
sodium dithionite
and 30% glycerol, the half-life (t
1/2
) ofthe wild-type
CYP73A1 was around 3 h. Inthe presence ofa higher
sodium dithionite concentration (4.5 mgÆmL
)1
), the t
1/2
of
CYP73A1 was 45 min when the buffer contained 3%
glycerol, and 60 min with 30% glycerol. Stability tests were
performed at 4.5 mgÆmL
)1
dithionite, using different con-
centrations of glycerol depending on the stability of each
mutant (Table 2). The results identified three classes of
mutants. The first group consisted of N302D, I371F and
I371K, that had a stability at least equal to that ofthe wild-
type. The second group included K484M, with a stability
that was slightly decreased compared to the wild-type, and
R103M, N302F and I371A that displayed a more pro-
nounced decrease with a t
1/2
shift from 45 to approximately
15 min. The third group, included all other mutants in
particular R366M and R101M, which demonstrated a
drastic loss in protein stability. The R366M, R368F/K,
R101M, R103M/E, DRK and KRI modifications resulted
in a very significant disruption ofthe tertiary structure of
the CYP73A1 protein.
Effect of mutations on cinnamic acid recognition
and metabolism
The impact ofthe mutations on CA binding and metabo-
lism was investigated (Table 2). The K484M mutation that
Fig. 2. A preliminary model oftheactivesite of
CYP73A1. Construction of this first model
was based on four bacterial crystallized
structures. Only part oftheactivesite is
shown. Based on the
1
H-NMR data [10], the
substrate is expected to be located between the
spheres. Generated by using
SWISS
-
PDB
viewer
andrenderedwith
POV
-
RAY
.
3688 G. A. Schoch et al. (Eur. J. Biochem. 270) Ó FEBS 2003
Table 2. Impact ofthe mutations on protein stability and CA recognition and metabolism. Expression levels were calculated from CO-difference spectra. The initial proportion of P420 was estimated from these
spectra. Stability ofthe haem protein was assayed by monitoring the disappearance ofthe 450 nm peak from the CO difference spectra in recombinant yeast microsomes reduced with high sodium dithionite
(4.5 mgÆmL
)1
). The half-lives (t
1/2
) calculated from the pseudo-first order kinetics of P450 decrease are reported. Spectra were recorded every 0.5 or 1 min during 30 min. (1) Microsomes were incubated at
30 °C in sodium phosphate 100 m
M
pH 7.4 containing 3% glycerol. (2) Low stability mutants were tested in buffer containing 30% glycerol to underline the differences between them. C4H activity was
measured using a concentration of cinnamate (150 l
M
) expected to be saturating for most ofthe mutants. The binding constants were calculated from the amplitude ofthe type I difference spectra induced by
increasing concentrations of substrate, e
type I
being the molar absorption coefficient ofthe saturated P450-substrate complex (DA
max
/P450 concentration) and K
s
the dissociation constant. Expression and
activity values are relative to the wild-type (100%): P450 expression, 847 pmolÆmg
)1
microsomal protein; C4H activity, 287 pkatÆmg
)1
; cytochrome c reductase activity, 1520 pkatÆmg
)1
. Cytochrome c
reductase activity is used as a control for protein induced expression and integrity. Values ± SD are the mean of three or more experiments. n.m. not measurable.
Hydrophobic and hydrogen bonding residues Positively charged residues
I helix (SRS 4) Loop 3 (SRS 5) B helix (SRS 1) (SRS 3) K helix (SRS 5) (SRS 6)
Wild-type N302F N302D I303A I371F I371A I371K Wild-type R101M R103M R103E DKR KRI R366M R368K R368F K484M
Yeast
expression
level (%)
100 ± 4.8 30 ± 0.3 71 ± 7.2 96 ± 5.1 95 ± 9.9 93 ± 2.8 105 ± 2.4 100 ± 4.8 11.2 ± 0.7 60 ± 3.5 78 ± 1.7 7.8 ± 0.2 11.6 ± 0.8 <5 81 ± 3.3 54 ± 4.3 89 ± 1.4
Initial P420
(%)
– 15 – <5 – – – – 50 – 5 65 <5 >80 – – –
t
1/2
(min) (1) 46 ± 7.5 13.8 ± 3.9 45.1 ± 5.7 5 ± 1 53.2 ± 7.1 12.7 ± 0.8 53.9 ± 7.6 46 ± 7.5 2 15 ± 4.7 2<1 2 n.m. 2 2 30.7 ± 0.6
t
1/2
(min) (2) 59.8 ± 7 10.2 ± 4.8 – 6.7 ± 0.7 3 ± 2 8.9 ± 0.9 n.m. 26± 2.4 13 ± 1.2 –
C4H activity
(%)
100 ± 1.0 0.5 ± 0.2 10 ± 0.9 75 ± 4.6 0.09 ± 0.02 11.3 ± 1.5 1.1 ± 0.2 100 ± 1.0 0.2 ± 0.3 44 ± 4.5 36 ± 5.8 1.0 ± 0.1 0.1 ± 0.05 0.1 ± 0.1 60 ± 3.5 48 ± 4.1 55 ± 6.1
Cinnamate
binding
K
s
(l
M
) 7.1 ± 1.0 13.7 ± 2.6 45 ± 9.0 3.9 ± 0.3 >100 25 ± 3.0 11.1 ± 2.2 7.1 ± 1.0 no type I 16.7 ± 2.1 >50 5.2 ± 1.6 11.9 ± 0.7 >100 11 ± 0.5 11 ± 0.6 5.9 ± 0.2
e
type I
(m
M
)1
Æcm
)1
)
128 ± 7.5 23 ± 4.7 7.5 ± 1.0 106 ± 3.0 1.0 ± 0.5 25 ± 1.5 15.6 ± 2.3 128 ± 7.5 – 120 ± 9.9 103± 2.2 35 ± 3.8 23 ± 9.2 n.m. 133 ± 6.6 126 ± 5.7 112 ± 0.9
Cyt c reductase
activity (%)
100 ± 5.0 98 ± 6.9 166 ± 5.9 107 ± 4.9 101 ± 7.2 146 ± 13 106 ± 12 100 ± 5.0 91.1 ± 21 136 ± 14 119 ± 17 83 ± 1.7 100 ± 13 118 ± 6.0 102 ± 7.3 98 ± 6.4 125 ± 9.8
Ó FEBS 2003 Keyresidues for substraterecognitioninCYP73A1 (Eur. J. Biochem. 270) 3689
did not significantly affect protein expression or stability
had no significant impact on the binding of CA; however, it
did result ina 45% decrease in catalytic activity. All other
modifications of positively charged amino acids adversely
affected expression and/or stability ofthe enzyme but had a
comparatively minor affect on substraterecognition and
metabolism. Exceptions included R366M, R101M and the
triple mutations for which drastic decreases in stable haem
protein were paralleled by dramatic losses in activity.
Despite the loss of activity and structural integrity, the
DKR mutation rather unexpectedly seemed to retain an
intact affinity for substrate binding.
Modifications of N302 and I371 resulted in limited or no
apparent perturbation of protein folding and stability but
led to dramatic decreases in CA binding and hydroxylation.
N302 is likely to provide a hydrogen bonding side chain for
anchoring the carboxylate of CA. The conversion of aspa-
ragine into negatively charged aspartic acid (N302D)
resulted ina drastic effect on substrate binding affinity.
Whereas replacement with a bulky hydrophobic residue
(N302F) compromised overall protein structure and cata-
lysis.
I371 is predicted to form a van der Waals’ contact with
the aromatic ring of CA. Inthe I371 mutants, I371A opens
more space intheactivesite and thus should allow for
increased substrate mobility. Conversely, I371F and I371K
should create a steric hindrance to the binding of the
substrate above the haem iron. As expected, the I371A
mutation substantially decreases CA affinity and the ability
to desolvate theactive site. Around 10% ofthe catalytic
activity is conserved, which would be in agreement with the
conservation ofthe carboxylate anchoring function of the
protein. The I371F and I371K mutations lead to an almost
complete loss in C4H activity. This activity loss is correlated
with impaired substrate binding. A complete loss of binding
was also observed upon substitution of I371 with the bulky
phenylalanine. The insertion ofa positive charge inthe 371
position does not completely prevent the binding of the
substrate, but almost totally hinders catalysis. This probably
results from improper positioning ofthe substrate’s aro-
matic ring above the haem iron.
Mutation of I303, adjacent to N302, into alanine slightly
increased affinity but modified substrate positioning and
decreased catalytic activity. This data is concordant with a
model where I303 is not a direct contact residue, but rather
contributes to optimal CA orientation intheactive site.
Binding of alternate ligands to CYP73A1 mutants
The mutants that showed strongly impaired CA binding
and metabolism, but that did not display a major structural
alteration in terms of protein stability and expression, were
further tested for their ability to recognize a set of structural
analogues of CA. This set included CA precursors, plus
other natural and synthetic compounds. Some of these
compounds present a quite high intrinsic affinity for wild-
type CYP73A1, such as phenylpyruvic acid (K
s
¼ 3.1 l
M
),
phenylalanine, indole-2-carboxylic acid or cinnamyl alcohol
(K
s
¼ 12 l
M
), 2-aminoquinoline (K
s
¼ 17 l
M
) and indole-
3-carboxylic acid (the natural auxin, K
s
¼ 18 l
M
). These
compounds are ordered from gain to loss of binding to the
mutant proteins in Table 3.
As shown in Table 3, the analogues investigated were
better ligands for the mutants than the physiological
substrate CA. Relative to wild-type CYP73A1, the binding
efficiency for CA decreases 10-fold inthe mutant I371K,
50-fold in I371F and 100-fold in N302D. In contrast,
increases in binding efficiency are observed for a few ligands
after modification ofthe protein. The most notable increases
are 15-fold for N302D with phenylalanine, 12-fold for
I371K with 2-phenoxyacetamidine, and 10-fold for I371F
with phenylalanine or cinnamylic alcohol.
The I371F modification is likely to block access to the
active centre for most ofthe potential substrates. Only
compounds with increased side chain flexibility or reduced
bulkiness inthe CA ring region are expected to have
increased binding efficiencies compared to CA. This is
actually the case, with a gain in binding efficiency being
observed only for phenylalanine, 2-phenoxyacetamidine,
cinnamylic alcohol or 4-propynyl-oxybenzoic acid. More
relevant are the N320D and I371K mutations that could
provide a new salt-bridge or hydrogen bonding opportu-
nities intheactivesite region. Increased affinity of several
ligands indicates that new bonds are formed inthe mutants
and may reflect a reversed orientation ofthe ligands or
occupation of different subpockets intheactive site.
Noteworthy are the increased binding of phenylalanine
and 2-phenoxyacetamidine, which are highly polar mole-
cules. However, none ofthe compounds that displayed an
increased affinity produced a large spin transition of the
ferrous haem, which would be indicative of effective
desolvation oftheactivesite and appropriate positioning
for an efficient oxidative attack. Some ofthe analogues
listed at the top of Table 3 that showing better binding
efficiencies than CA with the modified proteins, were
analysed in catalytic assays.
Metabolism of alternate substrates
The metabolism of CA analogues was assayed with the
N302, I371 and K484 mutants (Table 4). Microsomes from
yeast transformed with the empty expression plasmid, and
also incubations without NADPH were used to control for
CYP73-independent reactions. No metabolism of phenyl-
alanine and 2-phenoxyacetamidine was detected with the
wild-type or any ofthe mutants. The sensitivity ofthe tests
was low, due to high detection thresholds and the need to
test phenylalanine metabolism at pH 8.3, which decreases
C4H activity ofthe wild-type by 80%.
NA was previously shown to be the best structural mimic
and alternate substrate for wild-type CYP73A1 [7]. NA was
metabolized by all mutants with an efficiency very compar-
able to that observed with CA. This suggests that both
compounds have a very similar positioning intheactive site
and validates use of NA for fluorometric quantification of
the enzyme activity [7]. Metabolism of I2C, I3C and 7MC
does not parallel that of CA inthe different mutants. For
example the I371A and I371K mutations have less influence
on demethylation of 7MC than on CA hydroxylation. Also
noteworthy is the opposite effect of several amino acid
substitutions on I3C and I2C hydroxylations. Most muta-
tions have less impact on I2C than on I3C and CA
metabolism, probably due to the symmetry axis of I2C and
to the possible attack on two different carbon atoms.
3690 G. A. Schoch et al. (Eur. J. Biochem. 270) Ó FEBS 2003
Unexpectedly, the K484M substitution, which results in
close to 50% loss in C4H activity, does not affect I2C
hydroxylation. As initial cinnamate binding is not influ-
enced by this mutation (Table 2) and binding kinetics are
first-order (indicating a single binding-site), this suggests
that K484 does not directly affect catalysis but might have a
selective role insubstrate position adjustment during the
catalytic cycle.
Modified regiospecificity of indole-2-carboxylic acid
hydroxylation
I2C metabolism by wild-type CYP73A1 was previously
shown to result inthe formation of two products that were
not further characterized [7]. On the basis of its HPLC
retention time, UV spectrum, and monoisotopic mass, the
most polar product P1 (RT 9.8 min) was unambiguously
identified as 5-hydroxy-I2C (Fig. 3). P2 presents the same
mass as P1 and is thus a monohydroxylated product.
Superimposition ofthe NA and CA structures, and of their
positions of attack on those of I2C, indicates that P2 is most
likely 6-hydroxy-I2C, although an authentic standard was
not commercially available for verification. In favour of the
latter hypothesis, 5-hydroxy-I2C was tested as asubstrate of
CYP73A1 and was not further metabolized.
As preliminary experiments indicated that the ratio
between the two products varies upon metabolism by the
different mutants, this ratio was used as a reporter of the
influence ofthe mutations on substrate docking (Table 4).
In the wild-type CYP73A1, the formation of P2 is five times
more frequent than that of P1.
The K484M mutation does not significantly affect the
P2/P1 ratio. This is not surprising considering that it does
not affect the global rate of I2C metabolism. As the length
of the I2C molecule and the distance between its carboxylate
and the positions of attack are slightly shorter than for CA
or NA, it is possible that the carboxylate of I2C is beyond
the area of influence of K484.
The N302 mutations, in particular N302D, significantly
increased the proportion of P1 so that the P2/P1 ratio
dropped closer to 1. This loss in regiospecificity in the
mutant is concordant with the increased mobility of the
Table 3. Alternate ligand binding to the mutant protein. 4-Propynyl-oxybenzoic acid and wild-type CYP73A1 is the only complex for which data
fitting with the Michaelis–Menten equation indicated second order kinetics. Binding efficiency is the e
type I
/K
s
ratio calculated for each complex. The
values listed are relative to the wild-type for each ligand. Standard deviations (not shown) are less than 12% of these values.
Ó FEBS 2003 Keyresidues for substraterecognitioninCYP73A1 (Eur. J. Biochem. 270) 3691
molecule intheactivesite that is reflected by a low e
type I
(Table 3). Taken together, the data support a role for N302
in controlling ofsubstrate orientation intheactive site.
The I371 mutations to K and A have opposite effects.
The I371K mutation increases the preferential attack at the
putative 6-position, most likely by increasing steric hin-
drance near C5 ofthe indole ring. In contrast, the I371A
mutation appears to remove the steric constraint existing in
the wild-type CYP73A1 and favours a P2/P1 ratio closer
to 1. The observed effects of both of these mutations
support the assumption ofa direct contact of I371 with the
aromatic ring of I2C or CA.
Discussion
The computational homology modelling strategy des-
cribed by Jean et al. [21] allows a reasonable prediction
of the most conserved P450 substructures, although
hypervariable regions cannot be predicted. Our present
model was based on four crystallized bacterial enzymes
(Fig. 2) and seems to correctly predict several residues
forming contacts with CA.
The model predicts that N302, which resides inthe I helix
and SRS 4, is likely to form a hydrogen bond with the
carboxylate ofthe substrate. Mutations of this residue lead to
a dramatic loss in CA binding efficiency (10-fold for the
N302F and 100-fold for the N302D substitution) together
with a very strong decrease in catalytic activity. This confirms
a critical role for this residue inthe initial binding and correct
positioning of CA during catalysis. A role of N302 in
anchoring the side-chain carboxylate of CA is further
supported by the enhanced binding of amine substituted
ligands and also by the loss of regiospecificity of I2C
hydroxylation when N302 is replaced by an aspartic acid.
Together with A306, I371 is predicted to form a
hydrophobic pocket that positions the aromatic ring of
the substratein close proximity to the haem iron. The
adverse impact ofthe A306G substitution on substrate
binding and metabolism as well as coupling ofthe reaction
was described previously [9]. Modifications of I371, espe-
cially I371F, produced a dramatic loss in binding and
activity with CA and all other substrates. The less
detrimental effect of these substitutions on the binding of
analogues, which are less rigid or bulky than CA, and
differential impact on the regiospecificity of I2C ring-
hydroxylation support the hypothesis that the side chain of
I371 is an essential element ensuring correct positioning and
orientation ofthe aromatic ring intheactive site.
Our model predicts that K484 is inthesubstrate pocket.
Its distance to the CA carboxylate inthe oxidized enzyme
model does not allow for any direct interaction and, as
expected, modification of K484 has no impact on the initial
binding of CA. However, the K484M substitution leads to a
50% decrease in catalytic activity with both CA and NA. A
possible explanation is that K484 plays some role in the
electron transfer from the P450 reductase to the haem iron.
However, this residue is located on the distal side of the
haem, while interaction with the reductase and electron
transfer should involve residues on the proximal side of the
protein [31]. The unchanged I2C hydroxylase activity in
K484M when compared to that ofthe wild-type confirms
that the mutant is not impaired in electron transfer. Thus,
K484 must exert some control on CA/NA positioning or
product release during the catalytic cycle. Although the
K484 effect might be indirect and the interaction with the
carboxylate of CA might occur via a molecule of solvent, it
can also be postulated that the reduction ofthe protein or
binding of oxygen results ina conformational change of the
Fig. 3. Analysis ofthe products of I2C hydroxylation. Upper panel:
HPLC analysis ofthe products ofthe metabolism of 10 nmol I2C by
30 pmol recombinant CYP73A1in 60 min and ina 100 lL assay.
Absorbance was monitored at 290 nm. Lower panel: UV spectra
corresponding to the centre ofthe peaks. P1 and P2 collected after
90 min incubation of 120 nmol of I2C were analysed by negative ESI-
MS. Monoisotopic mass of both compounds was 176 Da. P1 retention
time and UV spectrum was identical to that of commercial 5-hydroxy-
2-indolecarboxylic acid.
Table 4. Metabolism of alternate substrates by mutant CYP73A1s. Activities are expressed relative to wild-type CYP73A1. 100% activity is
287 pkatÆmg
)1
microsomal protein for CA, 311 pkatÆmg
)1
for NA, 38.8 pkat mg
)1
for I2C, 20.4 pkat mg
)1
for I3C, 6.6 pkat mg
)1
for 7MC. n.d.
not determined.
Mutant CA NA I2C P1/P2 I3C 7MC
73A1 % 100 % 100 ± 2.3 % 100 ± 1.1 (5.7) % 100 ± 2.0 % 100 ± 8.2
N302D 10 9.7 ± 7.0 14.6 ± 0.8 (1.5) 3.0 ± 0.4 8 ± 1.5
N302F 0.5 2.3 ± 1.2 £ 1 (2.3) n.d. n.d.
I371F 0.09 < 0.6 < 0.1 n.d. n.d. n.d.
I371A 11 12 ± 0.8 32.1 ± 2.2 (0.7) 9.3 ± 0.3 27 ± 3.4
I371K 1.1 < 0.6 5.9 ± 0.5 (8.0) £ 1 6 ± 0.9
K484M 55 50 ± 3.8 94.3 ± 3.8 (4.9) n.d. n.d.
3692 G. A. Schoch et al. (Eur. J. Biochem. 270) Ó FEBS 2003
protein, similar to that observed for P450
BM3
or P450
CAM
substrate complexes [32–34]. Such a change could bring
K484 much closer to CA. In this case, ion pairing or
hydrogen bond between K484 and the CA carboxylate
could control the optimal positioning and orientation of the
substrate for catalysis. NMR measurement ofthe distances
of thesubstrate protons to the haem iron indicate an initial
positioning of CA approximately 6–8 A
˚
from the iron in the
oxidized enzyme, which might not be optimal for catalysis
and would not particularly favour ring 4-hydroxylation. If
these measurements are correct then a structural change
that brings CA closer to the iron and adjusts substrate
position, possibly tilting thesubstrate so as to favour attack
at the 4 position or on the 3–4 bond, would be needed for
efficient and regiospecific catalysis. The K484M mutation
has no impact on I2C metabolism or the regioselectivity of
attack. This observation is compatible with a role of K484 in
CA reorientation as the slightly smaller size and different
shape of I2C compared to that of CA might prevent
interaction between its anionic site and K484.
N302 and I371 align with residues that have been
shown to confer substrate specificity or regioselectivity to
many other plant or mammalian P450 enzymes. Residues
corresponding to I371 govern the regiospecificity of the
hydroxylation of 4S-limonene in CYP71D18 from spear-
mint and CYP71D15 from peppermint for the synthesis
of carvone and menthol, respectively [28]. In the
mammalian CYP2B family, residues 294 and 363 are
equivalent as N302 and I371, respectively. The CYP2B
mutations were shown to affect steroid regioselectivity.
At position 363, a CYP2B1 mutant (V363L) exhibited a
twofold decrease in androgen activity [35], whereas in
CYP2B11 the reverse mutant shows a fivefold increase in
androgen activity [36]. The same residue was identified as
a determinant ofsubstrate specificity in CYP2B2 [37],
CYP2B5 [38] and CYP2B6 [39]. Likewise, residue 294
was shown to play akey role in androgen metabolism by
CYP2B1 [40] and CYP2B4 [38]. A similar affect on
catalysis by these residue positions has been reported for
other mammalian enzymes. For example in CYP2A5,
mutation of M365, the equivalent of I371, decreased the
metabolism of aflatoxin B1 [41], while modification of
the corresponding residue (A370) in human CYP3A4
enhanced the hydroxylation of steroids [42,43].
A significant portion ofthe protein, which was not
reliably predicted inthe model, is not shown in Fig. 2 and
was not thoroughly investigated in our site-directed experi-
ments. It is therefore likely that additional residues, such as
R or K that can form an ion pair with the carboxylate of
CA, may contribute to substraterecognition or docking.
Mutation of positively charged residues found in the
putative SRSs (Fig. 1), based on a multiple alignment did
not lead to the identification ofa residue that would be
critical for therecognition or positioning of CA. Mutation
of all arginines led to a significant loss in protein stability
suggesting that they are involved in protein fold structure
rather than binding ofthe substrate.
The overall picture oftheCYP73A1activesite provided
by our data is reminiscent of P450
BM3
[44,45], as it involves
a hydrogen bond and possibly an ion pair for the anchoring
of the carboxylate on the substrate, and also a major
hydrophobic region for the docking ofthe aromatic ring. As
in P450
BM3
, a substantial protein rearrangement must occur
during the catalytic cycle [32,33], probably upon reduction,
to ensure an optimal positioning ofthesubstrate relative to
the ferryl-oxo intermediate for coupled, regiospecific attack
of the ring at the 4 position. While mutant analysis was in
progress, the first X-ray structure was described for a
membrane-bound mammalian P450, CYP2C5 [11]. This
new structure confirmed the conservation ofthe P450
spatial organization in eukaryotic microsomal enzymes. The
position of SRS 4 that is located inthe centre ofthe I helix,
which includes N302 in CYP73A1, was highly conserved
relative to the haem. However, significant local changes
were detected, particularly in all other SRSs. For example,
SRS 5, facing the I helix, shows a double bend due to two
proline residues (P360 and P364). The resulting topology
orients three leucine side chains toward theactivesite (L358,
L359 and L363). In P450
CAM
[46] and P450
TERP
[47], SRS 5
is a b-strand partially involved in b-sheet formation with
SRS 6. In P450
BM3
[44], the first bend found in CYP2C5 is
present and the C-terminal part of SRS 5 is a b-strand not
involved ina b-sheet with SRS 6. The alignment of SRS 5
of CYP2C5 and the whole CYP2B family with those of
CYP73A1 and CYP71Ds is not ambiguous. The two
prolines and the adjacent positive charge (H365) that bind
the haem propionate in CYP2C5 are conserved. This
suggests that the double bend structure is present and
confirms I371 as a central residue of SRS 5 in CYP73A1. If
the position ofthe SRS relative to the haem is conserved, the
phenyl side chain inthe I371F mutant should stack over the
haem, which would explain the complete impairment of
substrate binding and the increased stability ofthe mutant
protein. The orientation and size of SRS 6 is quite variable
between the different structures and reliable alignment of
K484 with the crystallized sequences is not possible.
Consequently, the role of K484 could not be correlated
with the mammalian structure.
CYP73A1 is more closely related to CYP2C5 (47%
similarity) than to any ofthe bacterial proteins (36%,
P450
BM3
;28%,P450
CAM
; 27%; P450
TERP
;30%,P450
eryF
),
and the structure of SRS 5 seems to be conserved between
CYP2C5 and CYP73A1. In order to refine our understand-
ing ofCYP73A1 and to gain structural information on
SRS 5 topology, a new model was built based on the
CYP2C5 structure exclusively (1DT6). CA was positioned
in theactivesiteof this new model, taking into account the
results ofthe previous NMR measurements [10] and
information obtained from mutagenesis (Fig. 4). In this
new model, N302 easily forms a hydrogen bond with the
carboxylate of CA and I371 is well positioned for hydro-
phobic contact with thesubstrate aromatic ring. A306 was
shown to be critical for substraterecognition [9]. In this new
model, its methyl group is 4.8 A
˚
from the haem iron and
3.5 A
˚
from the substrate. K484 is still too far away to form a
direct contact with the cinnamate.
In conclusion, a combination of homology modelling
and site-directed mutagenesis ofCYP73A1 has identified
N302 and I371 as key determinants ofsubstrate binding
and orientation for catalysis. K484 is not involved in
initial substrate binding, but seems to play a significant
role in catalysis, possibly by contributing to substrate
reorientation during the catalytic cycle. Modification
of activesiteresidues improved affinity for substrate
Ó FEBS 2003 Keyresidues for substraterecognitioninCYP73A1 (Eur. J. Biochem. 270) 3693
[...]... 3694 G A Schoch et al (Eur J Biochem 270) Fig 4 Predicted orientation of cinnamic acid intheactivesiteof CYP7 3A1 model was built on the crystal structure ofthe membrane bound eukaryotic CYP2C5 Substrate positioning was based on the combination of distances calculated from 1H-NMR measurements [10] and site- directed mutagenesis data analogues, but correct positioning allowing for a gain of function... phenylpropanoid pathway Plant Physiol 118, 209–218 Schalk, M., Nedelkina, M., Schoch, G., Batard, Y & WerckReichhart, D (1999) Role of unusual amino acid residuesinthe proximal and distal heme regions ofaplantP450, CYP7 3A1 Biochemistry 38, 6093–6103 Schoch, G .A. , Attias, R., Belghazi, M., Dansette, P.M & WerckReichhart, D (2003) Engineering ofa water-soluble plantcytochromeP450, CYP7 3A1 , and NMR based... potent inhibitors of CYP73As, P450s that catalyze 4-hydroxyla- 12 13 14 15 16 17 18 tion of cinnamic acid in higher plants Biochemistry 36, 15253– 15261 Schalk, M., Cabello-Hurtado, F., Pierrel, M .A. , Atanossova, R., Saindrenan, P & Werck-Reichhart, D (1998) Piperonylic acid, a selective, mechanism-based inactivator ofthe transcinnamate 4-hydroxylase: a new tool to control the flux of metabolites in the. .. based orientation of natural and alternate substrates intheactivesitePlant Physiol., in press Williams, P .A. , Cosme, J., Sridhar, V., Johnson, E & McRee, D.E (2000) Mammalian microsomal cytochrome P450 monooxygenase: structural adaptations for membrane binding and functional diversity Mol Cell 5, 121–131 Urban, P., Cullin, C & Pompon, D (1990) Maximizing the expression of mammalian cytochrome P-450... Characterization of recombinant plant cinnamate 4-hydroxylase produced in yeast Kinetic and spectral properties ofthe major plant P450 ofthe phenylpropanoid pathway Eur J Biochem 222, 843–850 Pompon, D., Louerat, B., Bronine, A & Urban, P (1996) Yeast expression of animal and plant P450s in optimized redox environments Methods Enzymol 272, 51–64 Omura, T & Sato, R (1964) The carbon monoxide-binding pigment... C., Garnier, J.M., Jeltsch, J.M., Durst, F & Werck- Reichhart, D (1993) Isolation and sequence ofa cDNA encoding the Jerusalem artichoke cinnamate 4-hydroxylase, a major plantcytochrome P450 involved inthe general phenylpropanoid pathway Proc Natl Acad Sci USA 90, 4102–4106 7 Schalk, M., Batard, Y., Seyer, A. , Nedelkina, S., Durst, F & Werck-Reichhart, D (1997) Design of fluorescent substrates and... account of lignification Curr Opin Plant Biol 2, 153–162 3 Pierrel, M .A. , Batard, Y., Kazmaier, M., Mignotte-Vieux, C., Durst, F & Werck-Reichhart, D (1994) Catalytic properties oftheplantcytochrome P450 CYP73 expressed in yeast Substrate specificity ofa cinnamate hydroxylase Eur J Biochem 224, 835–844 4 Mizutani, M., Ohta, D & Sato, R (1997) Isolation ofa cDNA and a genomic clone encoding cinnamate... function could not be achieved Indole 2-carboxylic acid, which is regiospecifically attacked at the 5 and 6 positions, is a very useful probe for investigating the topology ofthe CYP7 3A1 activesite 8 Acknowledgments We thank P Ullmann for help and support, M Bergdoll for helpful discussion, D Little and K Griffin for critical readings ofthe manuscript The W(R) and WAT11 yeast strains and the pYeDP60 expression... re-design ofthesubstrate binding siteof flavocytochrome P450 BM3 FEBS Lett 486, 173–177 Raag, R & Poulos, T.L (1991) Crystal structures ofcytochrome P-450CAM complexed with camphane, thiocamphor, and adamantane: factors controlling P-450 substrate hydroxylation Biochemistry 30, 2674–2684 Hasemann, C .A. , Ravichandran, K.G., Peterson, J .A & Deisenhofer, J (1994) Crystal structure and refinement of cytochrome. .. 34 Keyresidues for substraterecognitionin CYP7 3A1 (Eur J Biochem 270) 3695 NADPH -cytochrome c reductase, and cinnamic acid hydrodroxylase by phenobarbital, ethanol, herbicides, and manganese in higher plant microsomes Plant Physiol 66, 600–604 Duggleby, R.G (1984) Regression analysis of nonlinear Arrhenius plots: an empirical model and a computer program Comput Biol Med 14, 447–455 Werck-Reichhart, . 5¢-CAACATTGATGTCTTCAACAATG-3¢ 43
N302F 5¢-CTTTACATTGTTGAATTCATCAATGTTGCAGC-3¢ 5¢-GCTGCAACATTGATGAATTCAACAATGTAAAG-3¢ 43
I30 3A 5¢-CATTGTTGAAAACGCTAATGTTGCAG-3¢ 5¢-CTGCAACATTAGCGTTTTCAACAATG-3¢. 5¢-GGTTCGAGAACAGAGAATGTTGTGTTC-3¢ 55
DKR 5¢-GAAGTTAAAGATACAATGATTCAGCTC 5¢-GAGCTGAATCATTGTAACTTTAACTTC-3¢ 48
N302D 5¢-CATTGTTGAAGACATCAATGTTG-3¢ 5¢-CAACATTGATGTCTTCAACAATG-3¢