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

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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.
    Original languageEnglish
    JournalBMC Bioinformatics
    Volume16
    Issue number136
    Publication statusPublished - 29 Apr 2015

    Bibliographical note

    Note: This work was in part supported by the Polish National Centre for Science. [grant number 6435/B/T02/2011/40].

    Keywords

    • Biological sciences

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    • Protein Bioinformatics: Structure and Function

      Nebel, J.-C. (PI), Abbass, J. (CoI), Esmaielbeiki, R. (Researcher), Laibe, J. (Researcher), Dyrka, W. (Researcher), Kotulska, M. (CoI) & Konopka, B. M. (Researcher)

      7/06/0410/12/21

      Project: Research

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