Literature DB >> 16317788

Protein-structure prediction by recombination of fragments.

Janusz M Bujnicki1.   

Abstract

The field of protein-structure prediction has been revolutionized by the application of "mix-and-match" methods both in template-based homology modeling and in template-free de novo folding. Consensus analysis and recombination of fragments copied from known protein structures is currently the only approach that allows the building of models that are closer to the native structure of the target protein than the structure of its closest homologue. It is also the most successful approach in cases in which the target protein exhibits a novel three-dimensional fold. This review summarizes the recent developments in both template-based and template-free protein structure modeling and compares the available methods for protein-structure prediction by recombination of fragments. A convergence between the "protein folding" and "protein evolution" schools of thought is postulated.

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Year:  2006        PMID: 16317788     DOI: 10.1002/cbic.200500235

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  32 in total

1.  Modification and optimization of the united-residue (UNRES) potential energy function for canonical simulations. I. Temperature dependence of the effective energy function and tests of the optimization method with single training proteins.

Authors:  Adam Liwo; Mey Khalili; Cezary Czaplewski; Sebastian Kalinowski; Staniłsaw Ołdziej; Katarzyna Wachucik; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

2.  Sequence representation and prediction of protein secondary structure for structural motifs in twilight zone proteins.

Authors:  Lukasz Kurgan; Kanaka Durga Kedarisetti
Journal:  Protein J       Date:  2006-12       Impact factor: 2.371

Review 3.  Exploring conformational space using a mean field technique with MOLS sampling.

Authors:  P Arun Prasad; V Kanagasabai; J Arunachalam; N Gautham
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

4.  Using multi-data hidden Markov models trained on local neighborhoods of protein structure to predict residue-residue contacts.

Authors:  Patrik Björkholm; Pawel Daniluk; Andriy Kryshtafovych; Krzysztof Fidelis; Robin Andersson; Torgeir R Hvidsten
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

5.  An improved hybrid global optimization method for protein tertiary structure prediction.

Authors:  Scott R McAllister; Christodoulos A Floudas
Journal:  Comput Optim Appl       Date:  2010-03-01       Impact factor: 2.167

6.  Homology modeling of human Toll-like receptors TLR7, 8, and 9 ligand-binding domains.

Authors:  Tiandi Wei; Jing Gong; Ferdinand Jamitzky; Wolfgang M Heckl; Robert W Stark; Shaila C Rössle
Journal:  Protein Sci       Date:  2009-08       Impact factor: 6.725

7.  Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates.

Authors:  Yuedong Yang; Eshel Faraggi; Huiying Zhao; Yaoqi Zhou
Journal:  Bioinformatics       Date:  2011-06-11       Impact factor: 6.937

8.  An Improved Integration of Template-Based and Template-Free Protein Structure Modeling Methods and its Assessment in CASP11.

Authors:  Jilong Li; Badri Adhikari; Jianlin Cheng
Journal:  Protein Pept Lett       Date:  2015       Impact factor: 1.890

9.  Dynameomics: data-driven methods and models for utilizing large-scale protein structure repositories for improving fragment-based loop prediction.

Authors:  Steven J Rysavy; David A C Beck; Valerie Daggett
Journal:  Protein Sci       Date:  2014-09-03       Impact factor: 6.725

10.  Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.

Authors:  Marcin J Mizianty; Lukasz Kurgan
Journal:  BMC Bioinformatics       Date:  2009-12-13       Impact factor: 3.169

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