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Accession: PRJNA639956 ID: 639956

deep mutational scanning of the SARS-CoV-2 RBD using yeast display of barcoded libraries

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This project is a component of the INSDC SARS-CoV-2 Viral Sequencing Data
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669 additional projects are components of the INSDC SARS-CoV-2 Viral Sequencing Data.
We performed deep mutational scanning of the SARS-CoV-2 spike receptor-binding domain (RBD) from strain Wuhan-Hu-1 using yeast display to measure the affects of all amino-acid mutations on phenotypes such as ACE2 binding affinity and RBD expression. More...
AccessionPRJNA639956
Data TypeRaw sequence reads
ScopeMultispecies
Publications (total 3)
  • Starr TN et al., "SARS-CoV-2 RBD antibodies that maximize breadth and resistance to escape.", Nature, 2021 Sep;597(7874):97-102
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Grants
  • "High-throughput experiments to guide influenza vaccine strain selection" (Grant ID R01 AI127893, National Institute of Allergy and Infectious Diseases Extramural Activities)
  • "Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteins" (Grant ID R01 AI141707, National Institute of Allergy and Infectious Diseases Extramural Activities)
  • "Complete mapping of immune selection from antibodies to HIV" (Grant ID R01 AI140891, National Institute of Allergy and Infectious Diseases Extramural Activities)
SubmissionRegistration date: 17-Jun-2020
Fred Hutchinson Cancer Research Center
RelevanceEvolution
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments406
Publications
PubMed1
Other datasets
BioSample14
SRA Data Details
ParameterValue
Data volume, Gbases241
Data volume, Tbytes0.10

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