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OPUS-Ca: a Knowledge-based Potential Function Requiring Only Calpha Positions

Overview
Journal Protein Sci
Specialty Biochemistry
Date 2007 Jun 26
PMID 17586777
Citations 38
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Abstract

In this paper, we report a knowledge-based potential function, named the OPUS-Ca potential, that requires only Calpha positions as input. The contributions from other atomic positions were established from pseudo-positions artificially built from a Calpha trace for auxiliary purposes. The potential function is formed based on seven major representative molecular interactions in proteins: distance-dependent pairwise energy with orientational preference, hydrogen bonding energy, short-range energy, packing energy, tri-peptide packing energy, three-body energy, and solvation energy. From the testing of decoy recognition on a number of commonly used decoy sets, it is shown that the new potential function outperforms all known Calpha-based potentials and most other coarse-grained ones that require more information than Calpha positions. We hope that this potential function adds a new tool for protein structural modeling.

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References
1.
McConkey B, Sobolev V, Edelman M . Discrimination of native protein structures using atom-atom contact scoring. Proc Natl Acad Sci U S A. 2003; 100(6):3215-20. PMC: 152272. DOI: 10.1073/pnas.0535768100. View

2.
Zhang J, Chen R, Liang J . Empirical potential function for simplified protein models: combining contact and local sequence-structure descriptors. Proteins. 2006; 63(4):949-60. DOI: 10.1002/prot.20809. View

3.
Stapley B, Doig A . Hydrogen bonding interactions between glutamine and asparagine in alpha-helical peptides. J Mol Biol. 1997; 272(3):465-73. DOI: 10.1006/jmbi.1997.1262. View

4.
Bystroff C . MASKER: improved solvent-excluded molecular surface area estimations using Boolean masks. Protein Eng. 2003; 15(12):959-65. DOI: 10.1093/protein/15.12.959. View

5.
Buchete N, Straub J, Thirumalai D . Development of novel statistical potentials for protein fold recognition. Curr Opin Struct Biol. 2004; 14(2):225-32. DOI: 10.1016/j.sbi.2004.03.002. View