Literature DB >> 14579337

Prediction of protein structure by emphasizing local side-chain/backbone interactions in ensembles of turn fragments.

Qiaojun Fang1, David Shortle.   

Abstract

The prediction strategy used in the CASP5 experiment was premised on the assumption that local side-chain/backbone interactions are the principal determinants of protein structure at low resolution. Our implementation of this assumption made extensive use of a scoring function based on the propensities of the 20 amino acids for 137 different sub-regions of the Ramachandran plot, allowing estimation of the quality of fit between a sequence segment and a known conformation. New folds were predicted in three steps: prediction of secondary structure, threading to isolate fragments of protein structures corresponding to one turn plus flanking helices/strands, and recombination of overlapping fragments. The most important step in this fragment ensemble approach, the isolation of turn fragments, employed 2 to 6 sequence homologues when available, with clustering of the best scoring fragments to recover the most common turn arrangement. Recombinants formed between 3 to 8 turn fragments, with cross-overs confined to helix/strand segments, were selected for compactness plus low energy as estimated by empirical amino acid pair potentials, and the most common overall topology identified by visual inspection. Because significant amounts of steric overlap were permitted during the recombination step, the final model was manually adjusted to reduce overlap and to enhance protein-like structural features. Even though only one or two models were submitted per target, for several targets the correct chain topology was predicted for fragment lengths up to 100 amino acids. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14579337     DOI: 10.1002/prot.10541

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


  6 in total

1.  Propensities, probabilities, and the Boltzmann hypothesis.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

2.  Inferring ideal amino acid interaction forms from statistical protein contact potentials.

Authors:  Piotr Pokarowski; Andrzej Kloczkowski; Robert L Jernigan; Neha S Kothari; Maria Pokarowska; Andrzej Kolinski
Journal:  Proteins       Date:  2005-04-01

3.  Shaping up the protein folding funnel by local interaction: lesson from a structure prediction study.

Authors:  George Chikenji; Yoshimi Fujitsuka; Shoji Takada
Journal:  Proc Natl Acad Sci U S A       Date:  2006-02-17       Impact factor: 11.205

4.  Potentials 'R' Us web-server for protein energy estimations with coarse-grained knowledge-based potentials.

Authors:  Yaping Feng; Andrzej Kloczkowski; Robert L Jernigan
Journal:  BMC Bioinformatics       Date:  2010-02-17       Impact factor: 3.169

5.  TAP score: torsion angle propensity normalization applied to local protein structure evaluation.

Authors:  Silvio C E Tosatto; Roberto Battistutta
Journal:  BMC Bioinformatics       Date:  2007-05-15       Impact factor: 3.169

6.  Improved protein structure selection using decoy-dependent discriminatory functions.

Authors:  Kai Wang; Boris Fain; Michael Levitt; Ram Samudrala
Journal:  BMC Struct Biol       Date:  2004-06-18
  6 in total

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