S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE

BackgroundThe realization of many protein functions requires binding with ligands. As a significant protein-binding ligand, ATP plays a crucial role in various biological processes. Currently, the precise prediction of ATP binding residues remains challenging.MethodsBased on the sequence information...

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Bibliographic Details
Main Authors:	Sixi Hao, Cai-Yan Li, Xiuzhen Hu, Zhenxing Feng, Gaimei Zhang, Caiyun Yang, Huimin Hu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Genetics
Subjects:	ATP binding residues synthetic minority over-sampling technique deep convolutional neural network propensity factors dihedral angle energy
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2024.1513201/full
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S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE

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