Literature DB >> 17012757

What is a desirable statistical energy function for proteins and how can it be obtained?

Yaoqi Zhou1, Hongyi Zhou, Chi Zhang, Song Liu.   

Abstract

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).

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Year:  2006        PMID: 17012757     DOI: 10.1385/cbb:46:2:165

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  23 in total

1.  A free-rotating and self-avoiding chain model for deriving statistical potentials based on protein structures.

Authors:  Ji Cheng; Jianfeng Pei; Luhua Lai
Journal:  Biophys J       Date:  2007-03-09       Impact factor: 4.033

2.  OPUS-Ca: a knowledge-based potential function requiring only Calpha positions.

Authors:  Yinghao Wu; Mingyang Lu; Mingzhi Chen; Jialin Li; Jianpeng Ma
Journal:  Protein Sci       Date:  2007-07       Impact factor: 6.725

3.  OPUS-PSP: an orientation-dependent statistical all-atom potential derived from side-chain packing.

Authors:  Mingyang Lu; Athanasios D Dousis; Jianpeng Ma
Journal:  J Mol Biol       Date:  2007-11-19       Impact factor: 5.469

4.  Direct inference of protein-DNA interactions using compressed sensing methods.

Authors:  Mohammed AlQuraishi; Harley H McAdams
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

5.  OPUS-SSF: A side-chain-inclusive scoring function for ranking protein structural models.

Authors:  Gang Xu; Tianqi Ma; Qinghua Wang; Jianpeng Ma
Journal:  Protein Sci       Date:  2019-04-11       Impact factor: 6.725

Review 6.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

7.  SPOT-Seq-RNA: predicting protein-RNA complex structure and RNA-binding function by fold recognition and binding affinity prediction.

Authors:  Yuedong Yang; Huiying Zhao; Jihua Wang; Yaoqi Zhou
Journal:  Methods Mol Biol       Date:  2014

8.  An all-atom knowledge-based energy function for protein-DNA threading, docking decoy discrimination, and prediction of transcription-factor binding profiles.

Authors:  Beisi Xu; Yuedong Yang; Haojun Liang; Yaoqi Zhou
Journal:  Proteins       Date:  2009-08-15

9.  Three enhancements to the inference of statistical protein-DNA potentials.

Authors:  Mohammed AlQuraishi; Harley H McAdams
Journal:  Proteins       Date:  2012-11-12

10.  Four distances between pairs of amino acids provide a precise description of their interaction.

Authors:  Mati Cohen; Vladimir Potapov; Gideon Schreiber
Journal:  PLoS Comput Biol       Date:  2009-08-14       Impact factor: 4.475

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