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Predicting perfect drug candidates: Molecular docking 2.0

Detalles Bibliográficos
Autor principal: Nounou, Mohamed Ismail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097926/
https://www.ncbi.nlm.nih.gov/pubmed/25035632
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author Nounou, Mohamed Ismail
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spelling pubmed-40979262014-07-17 Predicting perfect drug candidates: Molecular docking 2.0 Nounou, Mohamed Ismail J Pharm Bioallied Sci Commentary Medknow Publications & Media Pvt Ltd 2014 /pmc/articles/PMC4097926/ /pubmed/25035632 Text en Copyright: © Journal of Pharmacy and Bioallied Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Commentary
Nounou, Mohamed Ismail
Predicting perfect drug candidates: Molecular docking 2.0
title Predicting perfect drug candidates: Molecular docking 2.0
title_full Predicting perfect drug candidates: Molecular docking 2.0
title_fullStr Predicting perfect drug candidates: Molecular docking 2.0
title_full_unstemmed Predicting perfect drug candidates: Molecular docking 2.0
title_short Predicting perfect drug candidates: Molecular docking 2.0
title_sort predicting perfect drug candidates: molecular docking 2.0
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097926/
https://www.ncbi.nlm.nih.gov/pubmed/25035632
work_keys_str_mv AT nounoumohamedismail predictingperfectdrugcandidatesmoleculardocking20