Extracting prime protein targets as possible drug candidates: machine learning evaluation

Extracting “high ranking” or “prime protein targets” (PPTs) as potent MRSA drug candidates from a given set of ligands is a key challenge in efficient molecular docking. This study combines protein-versus-ligand matching molecular docking (MD) data extracted from 10 independent molecular docking (MD...

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Detalles Bibliográficos
Autores principales: Chattopadhyay, Subhagata, Do, Nhat Phuong, Flower, Darren R., Chattopadhyay, Amit K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582137/
https://www.ncbi.nlm.nih.gov/pubmed/37608081
http://dx.doi.org/10.1007/s11517-023-02893-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582137/
https://www.ncbi.nlm.nih.gov/pubmed/37608081
http://dx.doi.org/10.1007/s11517-023-02893-0

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