Location
Figshare, https://figshare.com/projects/SARS-CoV-2_RBD_single_mutant_AlphaFold2_structures/150089
Description
AlphaFold2-predicted 3D structures of all single amino acid mutants in the SARS-CoV-2 receptor-binding domain (RBD), enabling structural interpretation of mutation effects.
In this data release paper (“SARS-CoV-2 RBD deep mutational AlphaFold2 structures carry phenotypic information” by Oz Kilim, Anikó Mentes, Balázs Pál, István Csabai and Ákos Gellért) we provide a curated data-set of all single mutations from each of the 7 main SARS-CoV-2 variants.
This results in 3819X7= 26733 pdb structures. We demonstrate that this data is viable for at least some down-steam machine learning tasks implying it contains information that is physically meaningful and structural variation between mutants is somewhat captured appropriately.
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SARS-CoV-2 receptor-binding domain deep mutational AlphaFold2 structures
Kilim et al, 2023, Scientific Data