H. Meirovitch et Tf. Hendrickson, BACKBONE ENTROPY OF LOOPS AS A MEASURE OF THEIR FLEXIBILITY - APPLICATION TO A RAS PROTEIN SIMULATED MOLECULAR-DYNAMICS, Proteins, 29(2), 1997, pp. 127-140
The flexibility of surface loops plays an important role in protein-pr
otein and protein-peptide recognition; it is commonly studied by Molec
ular Dynamics or Monte Carlo simulations, We propose to measure the re
lative backbone flexibility of loops by the difference in their backbo
ne conformational entropies, which are calculated here with the local
states (LS) method of Meirovitch. Thus, one can compare the entropies
of loops of the same protein or, under certain simulation conditions,
of different proteins. These loops should be equal in size but can dif
fer in their sequence of amino acids residues. This methodology is app
lied successfully to three segments of 10 residues of a Ras protein si
mulated by the stochastic boundary molecular dynamics procedure, For t
he first time estimates of backbone entropy differences are obtained,
and their correlation with B factors is pointed out; for example, the
segments which consist of residues 60-65 and 112-117 have average B fa
ctors of 67 and 18 Angstrom(2), respectively and entropy difference T
Delta S = 5.4 +/- 0.1 kcal/mol at T = 300 K. In a large number of rece
nt publications the entropy due to the fast motions (on the ps-ns time
scale) of N-H and C-H vectors has been obtained from their order para
meter, measured in nuclear magnetic resonance spin relaxation experime
nts, This enables one to estimate differences in the entropy of protei
n segments due to folding-unfolding transitions, for example. However
the vectors are assumed to be independent, and the effect of the negle
cted correlations is unknown; our method is expected to become an impo
rtant tool for assessing this approximation. The present calculations,
obtained with the LS method, suggest that the errors involved in expe
rimental entropy differences might not be large; however, this should
be verified in each case. Potential applications of entropy calculatio
ns to rational drug design are discussed. (C) 1997 Wiley-Liss, Inc.