Enantioselectivity of Pseudomonas cepacia Lipase
J . Org. Chem., Vol. 64, No. 8, 1999 2639
In this paper, we use computer modeling to investigate
the molecular basis of enantiomer recognition by PCL.
We will address three questions. First, the models for
primary alcohols and secondary alcohols suggest a re-
versal of enantiopreference for PCL. In the fast-reacting
enantiomer of secondary alcohols, the hydroxyl group
faces toward the reader, but for the fast-reacting enan-
tiomer of primary alcohols, the CH2OH group points into
the plane of the paper. Computer modeling will show that
the large substituents of primary and secondary alcohols
bind in different regions of PCL. This difference in
binding accounts for the reversal of enantiopreference.
F igu r e 1. Empirical rules summarize the enantiopreference
of PCL toward chiral alcohols. (a) Shape of the favored
enantiomer of secondary alcohols. M represents a medium-
sized substituent, e.g., CH3, and L represents a large substitu-
ent, e.g., Ph. (b) Shape of the favored enantiomer of primary
alcohols. This rule for primary alcohols is reliable only when
the stereocenter lacks an oxygen atom. Note that the OH of
secondary alcohols points toward the reader, while the CH2OH
of primary alcohols points away from the reader.
The second question is why primary alcohols with an
oxygen at the stereocenter do not follow the empirical
rule. Of the 27 substrates collected in an earlier paper,
only 10 fit the empirical rule; 31% agreement.8 This is
worse than guessing which gives 50% and suggests that
this class of primary alcohols may follow an opposite
empirical rule. The computer modeling will identify a
hydrogen bond that can reverse the enantioselectivity for
some primary alcohols with an oxygen at the stereo-
center.
with hydrophobic side chains and open to the solvent.
The other pocket is medium-sized and contains polar as
well as hydrophobic side chains.
Researchers used computer modeling of transition
state analogues bound to lipases to confirm the molecular
recognition model suggested in Figure 1.7,5b This model-
ing starts with the X-ray structure of the lipase, docks
into it a tetrahedral intermediate or transition state
analogue, and minimizes the energy of the complex. A
productive complex is one that has all the hydrogen bonds
required for catalysis and a good fit within the active site.
Such modeling usually correctly predicts the fast-reacting
enantiomer, but quantitative prediction of enantioselec-
tivity remains difficult. The slow enantiomer either does
not fit as well into the active site or fits in a nonproduc-
tive manner.
Understanding the molecular recognition of primary
alcohols has been more difficult. First, most lipases show
low enantioselectivity toward primary alcohols. Only
lipase from Pseudomonas cepacia (PCL) and lipase from
porcine pancreas (PPL) show moderate to high enanti-
oselectivity toward a wide range of primary alcohols, but
even for these the enantioselectivity is usually lower than
toward secondary alcohols. Second, a simple rule based
on the size of the substituents cannot predict the favored
enantiomer for all primary alcohols. For PPL, researchers
working with different substrates proposed opposite,
enantiomeric rules! Of course, neither rule predicted the
favored enantiomer for all substrates. For PCL, we found
that a simple rule works if we exclude primary alcohols
with an oxygen at the stereocenter, Figure 1.8
The last and most challenging question is how to
increase the enantioselectivity of PCL toward primary
alcohols. For secondary alcohols, increasing the difference
in size of the substituents usually increases the enanti-
oselectivity of lipase. However, previous work showed
that this approach was not reliable for PCL-catalyzed
reactions of primary alcohols. Sometimes it had no effect,
sometimes it increased, and sometimes it decreased the
enantioselectivity. The modeling below suggests a way
to increase the enantioselectivity toward some alcohols
by chemical modification to increase the strength of a key
hydrogen bond.
Although the goal of this paper is to understand the
molecular recognition of enantiomers of 1 and 2 by PCL,
pure enantiomers of 1 and 2 are also useful for synthesis.
For example, Delnick and Margolin noted that pure
enantiomers of 1 would be useful for the synthesis of
adenosine receptor agonists and antagonists,9 while
Heathcock and co-workers used (R)-1 in the synthesis of
the side chain of zaragozic acid A (squalestatin S1).10
Wimmer et al. used pure enantiomers of 2 to prepare
analogues of insect juvenile hormones,11 and Dirlam et
al. used a p-fluoro derivative to make sorbinil, an aldose
reductase inhibitor.12
(5) (a) Rhizomucor miehei lipase: Ranghino, G., Battistel, E.,
Giovenco, S. Trends QSAR Mol. Modell. 92, Proc. Eur. Symp. Struct.-
Act. Relat.: QSAR Mol. Modell., 9th, 1992 (1993) (Wermuth, C.-G.,
Ed.; ESCOM: Leiden, NL) 1992, 373-378. (b) Candida rugosa
lipase: Faber, K.; Griengl, H.; Hoenig, H.; Zuegg, J . Biocatalysis 1994,
9, 227-239. (c) Similar approach for Pseudomonas cepacia lipase:
Lemke, K., Lemke, M., Theil, F. J . Org. Chem. 1997, 62, 6268-6273.
(6) Reviews: Dodson, G. G.; Lawson, D. M.; Winkler, F. K. Faraday
Discuss. 1992, 95-105. Derewenda, Z. S. Adv. Prot. Chem. 1994, 45,
1-52. Cygler, M.; Grochulski, P.; Schrag, J . D. Can. J . Microbiol. 1995,
41, 289-96. Kazlauskas, R. J . Trends Biotechnol. 1994, 12, 464-72
(errata 1994, 13, 195).
All computer modeling in this paper begins with the
X-ray crystal structure of the open conformation of PCL,
which was recently reported by four groups.13 Like other
lipases, PCL is an R/â hydrolase.14 Ser87, His286, and
Asp264 form the catalytic triad, while the amide hydro-
gens of Leu17 and Gln88 also contribute to catalysis by
hydrogen bonding to the oxyanion intermediate.
(7) Secondary alcohols, HLL, RML, CRL: Norin, M.; Haeffner, F.;
Achour, A.; Norin, T.; Hult, K. Prot. Sci. 1994, 3, 1493-1503. Sainz-
D´ıaz, C. I., Wohlfahrt, G., Nogoceke, E., Herna´ndez-Laguna, A.,
Smeyers, Y. G., Menge, U. Theochem, J . Mol. Struct. 1997, 390, 225-
237. Parve, O., Vallikivi, I., Metsala, A., Lille, U., Tougu, V., Sikk, P.,
Kaambre, T., Vija, H., Pehk, T. Tetrahedron 1997, 53, 4889-4900.
Ema, T., Kobayashi, J ., Maeno, S., Sakai, T., Utaka, M. Bull. Chem.
Soc. J pn. 1998, 71, 443-453. Faber, K.; Griengl, H.; Hoenig, H.; Zuegg,
J . Biocatalysis 1994, 9, 227-239. CAL-B: Uppenberg, J .; O¨ hrner, N.;
Norin, M.; Hult, K.; Patkar, S.; Waagen V.; Anthonsen, T.; J ones, T.
A. Biochemistry 1995, 34, 16838-16851. Haeffner, F., Norin, T., Hult,
K. Biophys. J . 1998, 74, 1251-1262.
(8) Weissfloch, A. N. E.; Kazlauskas, R. J . J . Org. Chem. 1995, 60,
6959-6969.
(9) Delinck, D. L., Margolin, A. L. Tetrahedron Lett. 1990, 31, 6797-
6798.
(10) Stoermer, D., Caron, S., Heathcock, C. H. J . Org. Chem. 1996,
61, 9115-9125.
(11) Wimmer, Z., Saman, D., Francke, W. Helv. Chim. Acta 1994,
77, 502-508.
(12) Dirlam, N. L., Moore, B. S., Urban, F. J . J . Org. Chem. 1987,
52, 3587-3591.