Literature DB >> 14579339

Predicting interresidue contacts using templates and pathways.

Yu Shao1, Christopher Bystroff.   

Abstract

We present a novel method, HMMSTR-CM, for protein contact map predictions. Contact potentials were calculated by using HMMSTR, a hidden Markov model for local sequence structure correlations. Targets were aligned against protein templates using a Bayesian method, and contact maps were generated by using these alignments. Contact potentials then were used to evaluate these templates. An ab initio method based on the target contact potentials using a rule-based strategy to model the protein-folding pathway was developed. Fold recognition and ab initio methods were combined to produce accurate, protein-like contact maps. Pathways sometimes led to an unambiguous prediction of topology, even without using templates. The results on CASP5 targets are discussed. Also included is a brief update on the quality of fully automated ab initio predictions using the I-sites server. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14579339     DOI: 10.1002/prot.10539

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


  25 in total

1.  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

2.  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

3.  A comprehensive assessment of sequence-based and template-based methods for protein contact prediction.

Authors:  Sitao Wu; Yang Zhang
Journal:  Bioinformatics       Date:  2008-02-22       Impact factor: 6.937

4.  BCL::contact-low confidence fold recognition hits boost protein contact prediction and de novo structure determination.

Authors:  Mert Karakaş; Nils Woetzel; Jens Meiler
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

5.  Evaluation of residue-residue contact predictions in CASP9.

Authors:  Bohdan Monastyrskyy; Krzysztof Fidelis; Anna Tramontano; Andriy Kryshtafovych
Journal:  Proteins       Date:  2011-09-17

6.  Improving protein structure prediction using multiple sequence-based contact predictions.

Authors:  Sitao Wu; Andras Szilagyi; Yang Zhang
Journal:  Structure       Date:  2011-08-10       Impact factor: 5.006

7.  NNcon: improved protein contact map prediction using 2D-recursive neural networks.

Authors:  Allison N Tegge; Zheng Wang; Jesse Eickholt; Jianlin Cheng
Journal:  Nucleic Acids Res       Date:  2009-05-06       Impact factor: 16.971

8.  Towards accurate residue-residue hydrophobic contact prediction for alpha helical proteins via integer linear optimization.

Authors:  R Rajgaria; S R McAllister; C A Floudas
Journal:  Proteins       Date:  2009-03

9.  Predicting residue-residue contact maps by a two-layer, integrated neural-network method.

Authors:  Bin Xue; Eshel Faraggi; Yaoqi Zhou
Journal:  Proteins       Date:  2009-07

10.  Simulating protein folding initiation sites using an alpha-carbon-only knowledge-based force field.

Authors:  Patrick M Buck; Christopher Bystroff
Journal:  Proteins       Date:  2009-08-01
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