PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information.

ABSTRACT: Human DNA sequencing has revealed numerous single nucleotide variants associated with complex diseases. Researchers have shown that these variants have potential effects on protein function, one of which is to disrupt protein phosphorylation. Based on conventional machine learning algorithms, several computational methods for predicting phospho-variants have been developed, but their performance still leaves considerable room for improvement. In recent years, deep learning has been successfully applied in biological sequence analysis with its efficient sequence pattern learning ability, which provides a powerful tool for improving phospho-variant prediction based on protein sequence information. In the study, we present PhosVarDeep, a novel unified deep-learning framework for phospho-varia

SUBMITTER: Liu X 

PROVIDER: S-EPMC8929166 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature