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

Alba Grifoni; John Sidney; Yun Zhang; Richard H. Scheuermann; Bjoern Peters; Alessandro Sette

doi:10.1016/j.chom.2020.03.002

Keywords

BiologyEpitopeSequence homologyImmune systemComputational biologyCoronavirusSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyImmune recognitionHomology (biology)Identification (biology)VirusCoronavirus disease 2019 (COVID-19)GeneticsAntibodyPeptide sequenceInfectious disease (medical specialty)GeneDiseaseMedicine

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Publication Info

Year: 2020
Type: article
Volume: 27
Issue: 4
Pages: 671-680.e2
Citations: 1072
Access: Closed

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APA Style

                            
                                
                                    Alba Grifoni, 
                                
                                    John Sidney, 
                                
                                    Yun Zhang
                                
                                et al.
                            
                            (2020). 
                            A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2. 
                            Cell Host & Microbe
                            , 27
                            (4)
                            , 671-680.e2.
                            https://doi.org/10.1016/j.chom.2020.03.002
                        

Identifiers

DOI: 10.1016/j.chom.2020.03.002