On the study of protein inverse folding problem, one goal is to find s
imple and efficient potential to evaluate the compatibility between st
ructure and a given sequence. We present here a novo empirical mean fo
rce potential to address the importance of electrostatic interactions
in protein inverse folding study. It is based on protein main chain po
lar fraction and constructed in a way similar with Sippl's from a data
base of 64 known independent three-dimensional protein structures. Thi
s potential was applied to recognize the protein native conformations
among a conformation pool. Calculated results show that this potential
is powerful in picking out native conformations, in addition it can a
lso find structure similarity between proteins with low sequence simil
arity. The success of this new potential clearly shows the importance
of electrostatic factors in protein inverse folding studies. (C) 1995
Wiley-Liss, Inc.