Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction

被引:729
作者
Zhou, HY [1 ]
Zhou, YQ [1 ]
机构
[1] SUNY Buffalo, Howard Hughes Med Inst, Ctr Single Mol Biophys, Dept Physiol & Biophys, Buffalo, NY 14214 USA
关键词
knowledge-based potential; decoy sets; ideal-gas reference state;
D O I
10.1110/ps.0217002
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The distance-dependent structure-derived potentials developed so far all employed a reference state that can be characterized as a residue (atom)-averaged state. Here, we establish a new reference state called the distance-scaled, finite ideal-gas reference (DFIRE) state. The reference state is Used to construct a residue-specific all-atom potential of mean force from a database of 10 11 nonhomologous (less than 30% homology) protein structures with resolution less than 2 Angstrom. The new all-atom potential recognizes more native proteins from 32 multiple decoy sets, and raises an average Z-score by 1.4 units more than two previously developed, residue-specific, all-atom knowledge-based potentials. When only backbone and C-beta atoms are used in scoring, the performance of the DFIRE-based potential, although is worse than that of the all-atom version, is comparable to those of the previously developed potentials on the all-atom level. In addition, the DFIRE-based all-atom potential provides the most accurate prediction of the stabilities of 895 mutants among three knowledge-based all-atom potentials. Comparison with several physical-based potentials is made.
引用
收藏
页码:2714 / 2726
页数:13
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