Literature DB >> 17387736

Refinement of NMR-determined protein structures with database derived mean-force potentials.

Di Wu1, Robert Jernigan, Zhijun Wu.   

Abstract

Due to the limited distance data available from the experiments, the structures determined by NMR Spectroscopy may not always be as accurate as desired. Further refinement of the structures is often required and sometimes critical. With the increase of high quality protein structures determined and deposited in PDB Data Bank, commonly shared protein conformational properties can be extracted based on the statistical distributions of the properties in the structural database and used to improve the outcomes of the NMR-determined structures. Here we examine the distributions of protein interatomic distances in known protein structures. We show that based on these distributions, a set of mean-force potentials can be defined for proteins and employed to refine the NMR-determined structures. We report the test results on 70 NMR-determined structures and compare the potential energy, the Ramachandran plot, and the ensemble RMSD of the structures refined with and without using the derived mean-force potentials. 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17387736     DOI: 10.1002/prot.21358

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  7 in total

1.  3D maps of RNA interhelical junctions.

Authors:  Maximillian H Bailor; Anthony M Mustoe; Charles L Brooks; Hashim M Al-Hashimi
Journal:  Nat Protoc       Date:  2011-09-15       Impact factor: 13.491

2.  Statistical measures on residue-level protein structural properties.

Authors:  Yuanyuan Huang; Stephen Bonett; Andrzej Kloczkowski; Robert Jernigan; Zhijun Wu
Journal:  J Struct Funct Genomics       Date:  2011-03-31

3.  P.R.E.S.S.--an R-package for exploring residual-level protein structural statistics.

Authors:  Yuanyuan Huang; Stephen Bonett; Andrzej Kloczkowski; Robert Jernigan; Zhijun Wu
Journal:  J Bioinform Comput Biol       Date:  2012-06       Impact factor: 1.122

4.  Coarse grained normal mode analysis vs. refined Gaussian Network Model for protein residue-level structural fluctuations.

Authors:  Jun-Koo Park; Robert Jernigan; Zhijun Wu
Journal:  Bull Math Biol       Date:  2013-01-08       Impact factor: 1.758

5.  PRTAD: a database for protein residue torsion angle distributions.

Authors:  Xiaoyong Sun; Wu Di; Robert Jernigan; Zhijun Wu
Journal:  Int J Data Min Bioinform       Date:  2009       Impact factor: 0.667

6.  Distance matrix-based approach to protein structure prediction.

Authors:  Andrzej Kloczkowski; Robert L Jernigan; Zhijun Wu; Guang Song; Lei Yang; Andrzej Kolinski; Piotr Pokarowski
Journal:  J Struct Funct Genomics       Date:  2009-02-18

7.  PIDD: database for Protein Inter-atomic Distance Distributions.

Authors:  Di Wu; Feng Cui; Robert Jernigan; Zhijun Wu
Journal:  Nucleic Acids Res       Date:  2006-12-06       Impact factor: 16.971

  7 in total

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