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

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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