Citation

Nathan Rollins*, Kelly Brock*, Joshua Rollins*, Judy Shen, Amy Tam, Ada Shaw, Trenton Bricken, Augustin Luna, Nicholas Gauthier, Thomas Hopf, Chris Sander, Debora Marks.
SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation. (2020) marks.hms.harvard.edu/sars-cov-2
*equal contributors


Further references

Our predictions are based on multiple sequence alignments of proteins available on UniProt as of March 2020 [1,2], using the EVcouplings software [3,4,5,6].

[1] UniProt protein sequence database. www.uniprot.org
[2] UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res. 47: D506-515 (2019)
[3] EVcouplings software. github.com/debbiemarkslab/EVcouplings
[4] Mutation effects predicted from sequence co-variation. Nature Biotechnology. 35, p.128–135 (2017)
[5] Protein 3D Structure Computed from Evolutionary Sequence Variation. PLOSONE. (2017)
[6] Protein structure prediction from sequence variation. Nature Biotechnology. 30, p.1072–1080 (2012)
All of our code is on GitHub: EVcouplings. 3D structure visualization (in progress).