GWOVina: A grey wolf optimization approach to rigid and flexible receptor docking

Protein–ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein. In this paper, we introduce an efficient flexible docking method, gwovina, which is a variant of the Vina implementation using the grey wolf optimizer (GWO) and random walk fo...

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Detalles Bibliográficos
Autores principales: Wong, Kin Meng, Tai, Hio Kuan, Siu, Shirley W. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818481/
https://www.ncbi.nlm.nih.gov/pubmed/32679606
http://dx.doi.org/10.1111/cbdd.13764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818481/
https://www.ncbi.nlm.nih.gov/pubmed/32679606
http://dx.doi.org/10.1111/cbdd.13764

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