by B. Fain
Y. Xia
M. Levitt
Determination
of optimal
Chebyshev-
expanded
hydrophobic
discrimination
function for
globular
proteins
We describe the development of a scoring
function designed to model the hydrophobic
effect in protein folding. An optimization
technique is used to determine the best
functional form of the hydrophobic potential.
The scoring function is expanded using
the Chebyshev polynomials, for which the
coefficients are determined by minimizing
the Z-score of native structures in the
ensembles of alternate conformations. (The
Z-score is the score relative to the mean,
measured in units of standard deviation.) The
derived effective potential is tested on decoy
sets conventionally used in such studies.
The function is able to discriminate very well
between correct and incorrect folds, despite
the fact that it simply counts the number of
neighbors of each amino acid. Our results
show that the techniques of Z-score
optimization and Chebyshev expansion work,
and work well. Our results also confirm that
hydrophobic effect is one of the principal
driving forces in protein folding.
Introduction
A potential function which distinguishes native and native-
like conformations from non-native structures is essential
to protein structure prediction [1–10].
In this work we present three major ideas, each of
which is used to design a potential function. First, we
define a very simple effective potential for protein
Copyright 2001 by International Business Machines Corporation. Copying in printed form for private use is permitted without payment of royalty provided that (1) each
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