<p>The ResiRole server to enable assessments of structure prediction techniques using functional site predictions</p>

Joshua Toth; Paul DePietro; Juergen Haas; William McLaughlin

doi:10.7490/f1000research.1118267.1

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Toth J, DePietro P, Haas J and McLaughlin W. The ResiRole server to enable assessments of structure prediction techniques using functional site predictions [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1022 (slides) (https://doi.org/10.7490/f1000research.1118267.1)

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The ResiRole server to enable assessments of structure prediction techniques using functional site predictions

Joshua Toth, Paul DePietro, Juergen Haas, William McLaughlin¹

Published 21 Aug 2020 (https://doi.org/10.7490/f1000research.1118267.1)

Author Affiliations

¹ Geisinger Commonwealth School of Medicine, USA

Copyright © 2020 Toth J et al. 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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Published 21 Aug 2020

The ResiRole server to enable assessments of structure prediction techniques using functional site predictions
[version 1; not peer reviewed]

Joshua Toth, Paul DePietro, Juergen Haas, William McLaughlin¹

Author Affiliations

¹ Geisinger Commonwealth School of Medicine, USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

protein model, model quality, quality estimation, functional site prediction

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