A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2

• Published in: Cell host & microbe Vol. 27; no. 4; pp. 671 - 680.e2
• Main Authors: Grifoni, Alba, Sidney, John, Zhang, Yun, Scheuermann, Richard H., Peters, Bjoern, Sette, Alessandro
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 08.04.2020
• Subjects: B cell epitope; Betacoronavirus - genetics; Betacoronavirus - immunology; Computational Biology; coronavirus; Coronavirus Infections - immunology; Coronavirus Infections - virology; COVID-19; Databases, Protein; Epitopes, B-Lymphocyte - genetics; Epitopes, B-Lymphocyte - immunology; Epitopes, T-Lymphocyte - genetics; Epitopes, T-Lymphocyte - immunology; Humans; infectious disease; Pandemics; Pneumonia, Viral - immunology; Pneumonia, Viral - virology; SARS-CoV; SARS-CoV-2; sequence conservation; Sequence Homology; T cell epitope; COVID-19; B cell epitope; sequence conservation; SARS-CoV-2; infectious disease; SARS-CoV; coronavirus; T cell epitope

Effective countermeasures against the recent emergence and rapid expansion of the 2019 novel coronavirus (SARS-CoV-2) require the development of data and tools to understand and monitor its spread and immune responses to it. However, little information is available about the targets of immune respon...