Prediction of Protein–ATP Binding Residues Based on Ensemble of Deep Convolutional Neural Networks and LightGBM Algorithm

Accurately identifying protein–ATP binding residues is important for protein function annotation and drug design. Previous studies have used classic machine-learning algorithms like support vector machine (SVM) and random forest to predict protein–ATP binding residues; however, as new machine-learni...

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Detalles Bibliográficos
Autores principales: Song, Jiazhi, Liu, Guixia, Jiang, Jingqing, Zhang, Ping, Liang, Yanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832895/
https://www.ncbi.nlm.nih.gov/pubmed/33477866
http://dx.doi.org/10.3390/ijms22020939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832895/
https://www.ncbi.nlm.nih.gov/pubmed/33477866
http://dx.doi.org/10.3390/ijms22020939

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