Automatic generation of bioinformatics tools for predicting protein–ligand binding sites

Motivation: Predictive tools that model protein–ligand binding on demand are needed to promote ligand research in an innovative drug-design environment. However, it takes considerable time and effort to develop predictive tools that can be applied to individual ligands. An automated production pipel...

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Detalles Bibliográficos
Autores principales: Komiyama, Yusuke, Banno, Masaki, Ueki, Kokoro, Saad, Gul, Shimizu, Kentaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803387/
https://www.ncbi.nlm.nih.gov/pubmed/26545824
http://dx.doi.org/10.1093/bioinformatics/btv593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803387/
https://www.ncbi.nlm.nih.gov/pubmed/26545824
http://dx.doi.org/10.1093/bioinformatics/btv593

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