Concepedia

Rosetta custom score functions accurately predict ΔΔ <i>G</i> of mutations at protein–protein interfaces using machine learning

Sumant R. Shringari, Sam Giannakoulias, John J. Ferrie, E. James Petersson

Chemical Communications · 2020 · 20 citations · 35 references

DOI

Concepts

Abstract

Correction for 'Rosetta custom score functions accurately predict ΔΔG of mutations at protein-protein interfaces using machine learning' by Sumant R. Shringari et al., Chem. Commun., 2020, 56, 6774-6777, DOI: .

References

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The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design

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mCSM: predicting the effects of mutations in proteins using graph-based signatures

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