<p>Improved Rosetta protein structure prediction with customised fragments libraries based on structural class annotations</p>

Jad Abbass; Jean-Christophe Nebel

doi:10.7490/f1000research.1114546.1

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Abbass J and Nebel JC. Improved Rosetta protein structure prediction with customised fragments libraries based on structural class annotations [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1290 (poster) (https://doi.org/10.7490/f1000research.1114546.1)

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Improved Rosetta protein structure prediction with customised fragments libraries based on structural class annotations

Jad Abbass¹, Jean-Christophe Nebel

Published 01 Aug 2017 (https://doi.org/10.7490/f1000research.1114546.1)

Author Affiliations

¹ Kingston University, UK

Copyright © 2017 Abbass J and Nebel JC. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 01 Aug 2017

Improved Rosetta protein structure prediction with customised fragments libraries based on structural class annotations
[version 1; not peer reviewed]

Jad Abbass¹, Jean-Christophe Nebel

Author Affiliations

¹ Kingston University, UK

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Ab initio fragment-based protein structure prediction, Rosetta, protein structural class, CATH, SCOP

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