PCysMod: Prediction of Multiple Cysteine Modifications Based on Deep Learning Framework.

ABSTRACT: Thiol groups on cysteines can undergo multiple post-translational modifications (PTMs), acting as a molecular switch to maintain redox homeostasis and regulating a series of cell signaling transductions. Identification of sophistical protein cysteine modifications is crucial for dissecting its underlying regulatory mechanism. Instead of a time-consuming and labor-intensive experimental method, various computational methods have attracted intense research interest due to their convenience and low cost. Here, we developed the first comprehensive deep learning based tool pCysMod for multiple protein cysteine modification prediction, including S-nitrosylation, S-palmitoylation, S-sulfenylation, S-sulfhydration, and S-sulfinylation. Experimentally verified cys

SUBMITTER: Li S 

PROVIDER: S-EPMC7959776 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature