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Details on Person A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2
| Class:Id | LiteratureReference:9704985 |
|---|---|
| _displayName | A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 |
| _timestamp | 2020-10-15 23:23:20 |
| author | [Person:9704952] Grifoni, Alba [Person:9704979] Sidney, John [Person:5227012] Zhang, Yun [Person:9704953] Scheuermann, Richard H [Person:9704971] Peters, Bjoern [Person:9704976] Sette, Alessandro |
| created | [InstanceEdit:9704965] Shamovsky, Veronica, 2020-10-15 |
| journal | Cell Host Microbe |
| pages | 671-680.e2 |
| pubMedIdentifier | 32183941 |
| title | A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 |
| volume | 27 |
| year | 2020 |
| (literatureReference) | [Summation:9689614] MAGUK p55 subfamily member 5 (MPP5, also known as PALS1), a ... [Summation:9705685] This SARS-CoV-2 event was manually inferred from the interac... |
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No pathways have been reviewed or authored by A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2 (9704985)
