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. 2021 May;18(5):444-445.
doi: 10.1038/s41592-021-01144-0.

Computational protein modeling and the next viral pandemic

Oleksandr Narykov #  1 , Suhas Srinivasan #  2 , Dmitry Korkin  3   4   5
Affiliations

Computational protein modeling and the next viral pandemic

Oleksandr Narykov et al. Nat Methods. 2021 May.
No abstract available

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Conflict of interest statement

Competing interest

The authors declare no competing interests.

Figures

Figure 1.
Figure 1.. Evaluation of computational approaches for modeling 3D structures of SARS-CoV-2 proteins and related protein complexes.
A, analysis of 17 individual proteins that were both experimentally characterized and computationally modeled, using comparative (circles) and de novo (squares) methods. B, analysis of eight protein complexes; each complex consists of two (circle), three (triangle), or four (square) protein subunits. For each modeled protein or protein complex, its RMSD error between the model and experimental structure, the number of days between the releases of experimental and computational structures, and model’s coverage of the protein sequence (represented by colors) are calculated.
See this image and copyright information in PMC

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