<p>Drug search for leishmaniasis: a structure-based drug discovery approach for detecting anti-Leishmania hits</p>

Rodrigo Ochoa; Stanley J. Watowich; Andres Florez; Sara M. Robledo; Carlos Muskus

doi:10.7490/f1000research.1114629.1

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Ochoa R, Watowich SJ, Florez A et al. Drug search for leishmaniasis: a structure-based drug discovery approach for detecting anti-Leishmania hits [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1377 (poster) (https://doi.org/10.7490/f1000research.1114629.1)

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Drug search for leishmaniasis: a structure-based drug discovery approach for detecting anti-Leishmania hits

Rodrigo Ochoa¹, Stanley J. Watowich, Andres Florez, Sara M. Robledo, Carlos Muskus

Published 08 Aug 2017 (https://doi.org/10.7490/f1000research.1114629.1)

Author Affiliations

¹ University of Antioquia, Colombia

Copyright © 2017 Ochoa R 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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CITE

Published 08 Aug 2017

Drug search for leishmaniasis: a structure-based drug discovery approach for detecting anti-Leishmania hits
[version 1; not peer reviewed]

Rodrigo Ochoa¹, Stanley J. Watowich, Andres Florez, Sara M. Robledo, Carlos Muskus

Author Affiliations

¹ University of Antioquia, Colombia

Presented at

ISCB Student Council Symposium 2017

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

Leishmaniasis, drug discovery, molecular docking, molecular dynamics, bioinformatics

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Roger Rasmussen

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31 Aug 2017

The abstract describes the method used but does not seem to indicate what results were obtained, if any.

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