Sixi Hao
YOU?
Author Swipe
View article: 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 Open
Background The 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 residue…
View article: The optimised model of predicting protein‐metal ion ligand binding residues
The optimised model of predicting protein‐metal ion ligand binding residues Open
Metal ions are significant ligands that bind to proteins and play crucial roles in cell metabolism, material transport, and signal transduction. Predicting the protein‐metal ion ligand binding residues (PMILBRs) accurately is a challenging…
View article: Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm
Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm Open
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we sele…