R. Abagyan et al., HOMOLOGY MODELING WITH INTERNAL COORDINATE MECHANICS - DEFORMATION ZONE MAPPING AND IMPROVEMENTS OF MODELS VIA CONFORMATIONAL SEARCH, Proteins, 1997, pp. 29-37
Five models by homology containing insertions and deletions and rangin
g from 33% to 48% sequence identity to the known homologue, and one hi
gh sequence identity (85%) model were built for the CASP2 meeting, For
all five low identity targets: (i) our starting models were improved
by the Internal Coordinate Mechanics (ICM) energy optimization, (ii) t
he refined models were consistently better than those built with the a
utomatic SWISS-MODEL program, and (iii) the refined models differed by
less than 2% from the best model submitted, as judged by the residue
contact area difference (CAD) measure [Abagyan, R.A., Totrov, M.J. Mol
. Biol. 268:678-685, 1997], The CAD measure is proposed for ranking mo
dels built by homology instead of global root-mean-square deviation, w
hich is frequently dominated by insignificant yet large contributions
from incorrectly predicted fragments or side chains, We demonstrate th
at the precise identification of regions of local backbone deviation i
s an independent and crucial step in the homology modeling procedure a
fter alignment, since aligned fragments can strongly deviate from the
template at various distances from the alignment gap or even in the un
gapped parts of the alignment, We show that a local alignment score ca
n be used as an indicator of such local deviation, While four short lo
ops of the meeting targets were predicted by database search, the best
loop 1 from target T0028, for which the correct database fragment was
not found, was predicted by Internal Coordinate Mechanics global ener
gy optimization at 1.2 Angstrom accuracy, A classification scheme for
errors in homology modeling is proposed. (C) 1998 Wiley-Liss,Inc.