COACH-D: improved protein–ligand binding sites prediction with refined ligand-binding poses through molecular docking
Sign Up to like & getrecommendations! Published in 2018 at "Nucleic Acids Research"
DOI: 10.1093/nar/gky439
Abstract: The identification of protein-ligand binding sites is critical to protein function annotation and drug discovery. The consensus algorithm COACH developed by us represents one of the most efficient approaches to protein-ligand binding sites prediction. One… read more here.
Keywords: coach; ligand binding; binding sites; protein ligand ... See more keywords
A protein succinylation sites prediction method based on the hybrid architecture of LSTM network and CNN
Sign Up to like & getrecommendations! Published in 2022 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720022500032
Abstract: The succinylation modification of protein participates in the regulation of a variety of cellular processes. Identification of modified substrates with precise sites is the basis for understanding the molecular mechanism and regulation of succinylation. In… read more here.
Keywords: succinylation sites; sites prediction; succinylation; lstm ... See more keywords
Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Life"
DOI: 10.3390/life12081213
Abstract: In recent years, much research has found that dysregulation of glutarylation is associated with many human diseases, such as diabetes, cancer, and glutaric aciduria type I. Therefore, glutarylation identification and characterization are essential tasks for… read more here.
Keywords: sites prediction; deep neural; glutarylation sites; word embedding ... See more keywords