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

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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Bibliographic Details
Main Authors: Jiazhi Song, Guixia Liu, Jingqing Jiang, Ping Zhang, Yanchun Liang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:International Journal of Molecular Sciences
Subjects:
protein–ATP binding residue prediction
deep convolutional neural network
LightGBM
ensemble learning
protein primary sequence
Online Access:https://www.mdpi.com/1422-0067/22/2/939

Internet

https://www.mdpi.com/1422-0067/22/2/939

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