TY - JOUR
T1 - What is a desirable statistical energy function for proteins and how can it be obtained?
AU - Zhou, Yaoqi
AU - Zhou, Hongyi
AU - Zhang, Chi
AU - Liu, Song
N1 - Funding Information:
This work was supported by NIH (R01 GM 966049 and R01 GM 068530), a grant from HHMI to SUNY Buffalo, and by the Center for Computational Research and the Keck Center for Computational Biology at SUNY Buffalo. Y.Z. is also in part supported by a two-base fund from the National Science Foundation of China.
PY - 2006/10
Y1 - 2006/10
N2 - Can one obtain a physical energy function for proteins from statistical analysis of protein structures? A direct answer to this question is likely "no." Aless demanding question is whether one can produce a statistical energy function that has the desirable features of a physical-based energy function. Such a desirable energy function would be founded on a physical basis with few or no adjustable parameters, reproduce the known physical characters of amino acid residues, be mostly database independent and transferable, and, more importantly, reasonably accurate in various applications. In this review, we show how such a desirable energy function can be obtained via introducing a simple physical-based reference state called DFIRE (Distance-scaled, Finite, Ideal-gas REference state).
AB - Can one obtain a physical energy function for proteins from statistical analysis of protein structures? A direct answer to this question is likely "no." Aless demanding question is whether one can produce a statistical energy function that has the desirable features of a physical-based energy function. Such a desirable energy function would be founded on a physical basis with few or no adjustable parameters, reproduce the known physical characters of amino acid residues, be mostly database independent and transferable, and, more importantly, reasonably accurate in various applications. In this review, we show how such a desirable energy function can be obtained via introducing a simple physical-based reference state called DFIRE (Distance-scaled, Finite, Ideal-gas REference state).
KW - Database dependence
KW - Hydrophobicity
KW - Knowledge-based potential
KW - Protein-ligand binding affinity
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U2 - 10.1385/CBB:46:2:165
DO - 10.1385/CBB:46:2:165
M3 - Review article
C2 - 17012757
AN - SCOPUS:33749234779
SN - 1085-9195
VL - 46
SP - 165
EP - 174
JO - Cell Biochemistry and Biophysics
JF - Cell Biochemistry and Biophysics
IS - 2
ER -