Description

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.

Methods

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.

Data Access

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.

References

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 ACE2 Binding. Cell. 2020 Sep 3;182(5):1295-1310.e20. PMID: 32841599; PMC: PMC7418704