Customised fragments libraries for protein structure prediction based on structural class annotations

Abbass, Jad and Nebel, Jean-Christophe (2015) Customised fragments libraries for protein structure prediction based on structural class annotations. BMC Bioinformatics, 16(136), ISSN (online) 1471-2105

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Abstract

Since our methodology produces models the quality of which is up to 7% higher in average than those generated by a standard fragment-based predictor, we believe it should be considered before conducting any fragment-based protein structure prediction. Despite such progress, ab initio prediction remains a challenging task, especially for proteins of average and large sizes. Apart from improving search strategies and energy functions, integration of additional constraints seems a promising route, especially if they can be accurately predicted from sequence alone.

Item Type: Article
Additional Information: This work was in part supported by the Polish National Centre for Science. [grant number 6435/B/T02/2011/40].
Research Area: Biological sciences
Chemistry
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing > School of Computing and Information Systems
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Depositing User: Automatic Import Agent
Date Deposited: 28 Apr 2015 14:14
Last Modified: 07 May 2015 09:28
URI: http://eprints.kingston.ac.uk/id/eprint/31305

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