This track contains deep mutational scanning data measuring the effect of the change
in expression from a wild type allele to a mutant allele. The authors use a yeast
display system to experimentally measure the effect of all possible point (amino acid)
RBD mutations on protein expression & ACE2 affinity.
Display Conventions and Configuration
Each subtrack contains all the scores representing mutations to a particular amino acid
(each annotation is an S codon). For instance the A subtrack measures the change in
ACE2 binding of S RBD if the annotated amino acid is mutated to alanine (if the wildtype
amino acid is A, then the score is 0). A positive score indicates increased binding a
negative score is a loss of binding.
Please see the interactive heatmap generated by the authors at this link. Structural
visualizations of the data are available from the authors via dms-view here.
Table S2 from Starr et al, was downloaded and parsed into bedGraph format using the
average value of both replicates reported. All NA values were filtered out.
The raw data can be explored interactively with the
Table Browser, or combined with other datasets in the
Data Integrator tool.
Please refer to our
mailing list archives
for questions, or our
Data Access FAQ
for more information.
Starr TN, Greaney AJ, Hilton SK, Ellis D, Crawford KHD, Dingens AS, Navarro MJ, Bowen JE, Tortorici
MA, Walls AC et al.
Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and
Cell. 2020 Sep 3;182(5):1295-1310.e20.
PMID: 32841599; PMC: PMC7418704