Litcius/Paper detail

Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution

Guangyu Wang, Xiaohong Liu, Kai Wang, Yuanxu Gao, Gen Li, Daniel T. Baptista‐Hon, Xiaohong Yang, Kanmin Xue, Wa Hou Tai, Zeyu Jiang, Linling Cheng, Manson Fok, Johnson Yiu‐Nam Lau, Shengyong Yang, Ligong Lu, Ping Zhang, Kang Zhang

2023Nature Medicine78 citationsDOI

Topics & Concepts

In silicoProtein–protein interactionBiologyComputational biologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)InfectivityCoronavirus disease 2019 (COVID-19)Interaction networkViral proteinPlasma protein bindingGeneticsGeneVirusCell biologyInfectious disease (medical specialty)DiseaseMedicinePathologySARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approachesComputational Drug Discovery Methods
Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution | Litcius