BionoiNet: ligand-binding site classification with off-the-shelf deep neural network

MOTIVATION: Fast and accurate classification of ligand-binding sites in proteins with respect to the class of binding molecules is invaluable not only to the automatic functional annotation of large datasets of protein structures but also to projects in protein evolution, protein engineering and dru...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :Bioinformatics
Главные авторы: Shi, Wentao, Lemoine, Jeffrey M, Shawky, Abd-El-Monsif A, Singha, Manali, Pu, Limeng, Yang, Shuangyan, Ramanujam, J, Brylinski, Michal
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2020
Предметы:
Original Papers
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7214032/
https://ncbi.nlm.nih.gov/pubmed/32053156
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa094
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы