Literature DB >> 1993174

Influence of the local amino acid sequence upon the zones of the torsional angles phi and psi adopted by residues in proteins.

J F Gibrat1, B Robson, J Garnier.   

Abstract

A set of parameters is derived to express the influence of the local amino acid sequence on the torsional angles phi and psi adopted by each residue in a protein. The formalism used, which is based on information theory, evaluates the probability for a given residue to be in a particular zone of the Ramachandran map. Comparisons with crystallographic structures suggest that the method can extract almost all of the available information from the local sequence and show that the local sequence carries only, on average, about 65% of the information necessary for specifying the conformation of a given residue in a protein. The rest is specified by long-range interactions that are specific for each protein fold. The parameters derived here provide a more detailed description of the prediction than other methods in allowing the allocation of the torsional angles for residues having an aperiodic structure and are intended to be used for directing the conformational search in a subsequent simulation of the three-dimensional structure. This method should also predict segments of the polypeptide chain that are the most stable and thus less sensitive to long-range interactions.

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Year:  1991        PMID: 1993174     DOI: 10.1021/bi00220a019

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  6 in total

1.  HYPER: a hierarchical algorithm for automatic determination of protein dihedral-angle constraints and stereospecific C beta H2 resonance assignments from NMR data.

Authors:  R Tejero; D Monleon; B Celda; R Powers; G T Montelione
Journal:  J Biomol NMR       Date:  1999-11       Impact factor: 2.835

2.  Predicting secondary structures of membrane proteins with neural networks.

Authors:  P Fariselli; M Compiani; R Casadio
Journal:  Eur Biophys J       Date:  1993       Impact factor: 1.733

3.  Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process model.

Authors:  Daniel Ting; Guoli Wang; Maxim Shapovalov; Rajib Mitra; Michael I Jordan; Roland L Dunbrack
Journal:  PLoS Comput Biol       Date:  2010-04-29       Impact factor: 4.475

4.  Predicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure prediction.

Authors:  Eshel Faraggi; Yuedong Yang; Shesheng Zhang; Yaoqi Zhou
Journal:  Structure       Date:  2009-11-11       Impact factor: 5.006

5.  Trends in template/fragment-free protein structure prediction.

Authors:  Yaoqi Zhou; Yong Duan; Yuedong Yang; Eshel Faraggi; Hongxing Lei
Journal:  Theor Chem Acc       Date:  2010-09-01       Impact factor: 1.702

6.  Proline rich motifs as drug targets in immune mediated disorders.

Authors:  Mythily Srinivasan; A Keith Dunker
Journal:  Int J Pept       Date:  2012-05-16
  6 in total

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