PTransIPs: Identification of phosphorylation sites enhanced by protein PLM embeddings

arXiv:2308.05115v3 Announce Type: replace-cross
Abstract: Phosphorylation is pivotal in numerous fundamental cellular processes and plays a significant role in the onset and progression of various diseases. The accurate identification of these phosphorylation sites is crucial for unraveling the molecular mechanisms within cells and during viral infections, potentially leading to the discovery of novel therapeutic targets. In this study, we develop PTransIPs, a new deep learning framework for the identification of phosphorylation sites. Independent testing results demonstrate that PTransIPs outperforms existing …

arxiv cs.lg embeddings identification protein q-bio.qm type