Literature DB >> 7945791

A statistical analysis of side-chain conformations in proteins: comparison with ECEPP predictions.

A Nayeem1, H A Scheraga.   

Abstract

A comparison of the statistical distributions of side-chain conformations of 17 amino acids (Gly, Ala, and Pro excluded), observed in 63 nonhomologous globular proteins (covering 10,832 residues), is made with similar distributions calculated from the low-energy conformational states for the same amino acids (blocked with acetyl and N-methylamide groups at the N- and C-termini, respectively) obtained by Vásquez et al. [(1983), Macromolecules 16, 1043-1049] using the ECEPP/2 force field. Those residues (i) with linear side chains (Arg, Lys, Met, Cys, Ser), or those that are unbranched through the gamma-carbon atom (Glu, Gln) show good agreement, whereas (ii) those with side chains that are branched at C beta or C gamma show poor agreement with ECEPP calculations. A possible explanation for this is shown to be the greater tendency for side-chain atoms in class (ii) to interact with the backbone and/or adjacent side chains. Accordingly, ECEPP/3 calculations, carried out after elongating the backbone chain of the model peptide unit (by adding three Ala residues on each side of the central residue, and then blocking the termini as before), result in distributions that are often closer to the observed side-chain distributions. The implications of these results for the relative importance of short-range versus long-range interactions in determining protein structure are discussed.

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Year:  1994        PMID: 7945791     DOI: 10.1007/bf01901561

Source DB:  PubMed          Journal:  J Protein Chem        ISSN: 0277-8033


  30 in total

1.  Database algorithm for generating protein backbone and side-chain co-ordinates from a C alpha trace application to model building and detection of co-ordinate errors.

Authors:  L Holm; C Sander
Journal:  J Mol Biol       Date:  1991-03-05       Impact factor: 5.469

2.  Atomic solvation parameters applied to molecular dynamics of proteins in solution.

Authors:  L Wesson; D Eisenberg
Journal:  Protein Sci       Date:  1992-02       Impact factor: 6.725

3.  Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.

Authors:  J W Ponder; F M Richards
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

4.  Computation of structures of homologous proteins. Alpha-lactalbumin from lysozyme.

Authors:  P K Warme; F A Momany; S V Rumball; R W Tuttle; H A Scheraga
Journal:  Biochemistry       Date:  1974-02-12       Impact factor: 3.162

Review 5.  Knowledge-based prediction of protein structures and the design of novel molecules.

Authors:  T L Blundell; B L Sibanda; M J Sternberg; J M Thornton
Journal:  Nature       Date:  1987 Mar 26-Apr 1       Impact factor: 49.962

6.  Modeling side-chain conformation for homologous proteins using an energy-based rotamer search.

Authors:  C Wilson; L M Gregoret; D A Agard
Journal:  J Mol Biol       Date:  1993-02-20       Impact factor: 5.469

7.  Rotamers: to be or not to be? An analysis of amino acid side-chain conformations in globular proteins.

Authors:  H Schrauber; F Eisenhaber; P Argos
Journal:  J Mol Biol       Date:  1993-03-20       Impact factor: 5.469

8.  Backbone-dependent rotamer library for proteins. Application to side-chain prediction.

Authors:  R L Dunbrack; M Karplus
Journal:  J Mol Biol       Date:  1993-03-20       Impact factor: 5.469

9.  An analysis of side-chain conformation in proteins.

Authors:  T N Bhat; V Sasisekharan; M Vijayan
Journal:  Int J Pept Protein Res       Date:  1979-02

10.  Conformation of amino acid side-chains in proteins.

Authors:  J Janin; S Wodak
Journal:  J Mol Biol       Date:  1978-11-05       Impact factor: 5.469

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  3 in total

1.  Bayesian statistical analysis of protein side-chain rotamer preferences.

Authors:  R L Dunbrack; F E Cohen
Journal:  Protein Sci       Date:  1997-08       Impact factor: 6.725

2.  Side-chain conformational changes upon Protein-Protein Association.

Authors:  Anatoly M Ruvinsky; Tatsiana Kirys; Alexander V Tuzikov; Ilya A Vakser
Journal:  J Mol Biol       Date:  2011-02-25       Impact factor: 5.469

3.  Modeling and simulation of the human delta opioid receptor.

Authors:  Mahalaxmi Aburi; Paul E Smith
Journal:  Protein Sci       Date:  2004-07-06       Impact factor: 6.725

  3 in total

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