DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation

Accurate identification of ligand-binding pockets in a protein is important for structure-based drug design. In recent years, several deep learning models were developed to learn important physical–chemical and spatial information to predict ligand-binding pockets in a protein. However, ranking the...

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Detalles Bibliográficos
Autores principales: Zhang, Haiping, Saravanan, Konda Mani, Lin, Jinzhi, Liao, Linbu, Ng, Justin Tze-Yang, Zhou, Jiaxiu, Wei, Yanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144620/
https://www.ncbi.nlm.nih.gov/pubmed/32292649
http://dx.doi.org/10.7717/peerj.8864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144620/
https://www.ncbi.nlm.nih.gov/pubmed/32292649
http://dx.doi.org/10.7717/peerj.8864

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