OUR TOOLS
Deep-PLA
Deep-PLA is a web server developed for understanding the reversible enzyme-specific lysine acetylation regulation for histone acetyltransferases (HATs) including CREBBP, EP300, HAT1, KAT2A, KAT2B, KAT5 and KAT8, and deacetylases (HDACs) including HDAC1, HDAC2, HDAC3, HDAC6, SIRT1, SIRT2, SIRT3, SIRT6, and SIRT7.
Deep learning based prediction of reversible HAT/HDAC-specific lysine acetylation
pCysMod
pCysMod is a web server based on deep learning to predict cysteine modification sites.
pCysMod: Prediction of Multiple Cysteine Modifications Based on Deep Learning Framework
Frontiers in Cell and Developmental Biology.
2021 Feb 23, fcell.2021.617366.
doi: 10.3389/fcell.2021.617366.
2021 Feb 23, fcell.2021.617366.
doi: 10.3389/fcell.2021.617366.
DeepCalpain
DeepCalpain is a web server based on deep learning to predict calpain-specific cleavage events. Given a protein or a set of proteins in FASTA format, it can predict the possible cleavage sites of two major types of calpain, including m-calpain and μ-calpain.
Precise prediction of calpain cleavage sites and their aberrance caused by mutations in cancer
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
DeepGSH
DeepGSH is a web server based on deep learning to predict S-glutathionylation sites. Given a protein or a set of proteins in FASTA format, it can predict the possible S-glutathionylation sites in proteins.
Deep learning based prediction of species-specific protein S-glutathionylation sites
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
2020 Jul, 1868(7):140422.
doi: 10.1016/j.bbapap.2020.140422.
2020 Jul, 1868(7):140422.
doi: 10.1016/j.bbapap.2020.140422.
prkC-PSP
In this study, we manually curated the experimentally iden-tified substrates and phospho-rylation sites of prkC from the published literature, and developed a novel software of prkC-PSP (prkC-specific Phosphorylation Sites Prediction) for the prediction of prkC-specific phosphorylation sites.
Prediction of prkC-mediated protein serine/threonine phosphorylation sites for bacteria
Advances in experimental medicine and biology
cPhosBac
In this study, we present a new predictor of cPhosBac to predict phosphorylation serine/threonine in bacteria proteins.
Prediction of serine/threonine phosphorylation sites in bacteria proteins