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
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.
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