DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach

• Published in: Briefings in bioinformatics Vol. 22; no. 6
• Main Authors: Lv, Hao, Dao, Fu-Ying, Zulfiqar, Hasan, Lin, Hao
• Format: Journal Article
• Language: English
• Published: Oxford University Press 28.06.2021
• Subjects: Problem Solving Protocol

The rapid spread of SARS-CoV-2 infection around the globe has caused a massive health and socioeconomic crisis. Identification of phosphorylation sites is an important step for understanding the molecular mechanisms of SARS-CoV-2 infection and the changes within the host cells pathways. In this stud...