Predicting Ca2+ and Mg2+ ligand binding sites by deep neural network algorithm

Predicting Ca2+ and Mg2+ ligand binding sites by deep neural network algorithm

Abstract Background Alkaline earth metal ions are important protein binding ligands in human body, and it is of great significance to predict their binding residues. Results In this paper, Mg2+ and Ca2+ ligands are taken as the research objects. Based on the characteristic parameters of protein sequ...

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Bibliographic Details
Main Authors: Kai Sun, Xiuzhen Hu, Zhenxing Feng, Hongbin Wang, Haotian Lv, Ziyang Wang, Gaimei Zhang, Shuang Xu, Xiaoxiao You
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Bioinformatics
Subjects:
Deep learning algorithm
Protein
Metal ion ligand
Binding residue
Online Access:https://doi.org/10.1186/s12859-021-04250-0

Internet

https://doi.org/10.1186/s12859-021-04250-0

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