Erratum: Rosetta custom score functions accurately predict ΔΔGof mutations at protein-protein interfaces using machine learning (Chem. Commun. (2020) 56 (6774–6777) DOI: 10.1039/D0CC01959C)

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

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Erratum: Rosetta custom score functions accurately predict ΔΔGof mutations at protein-protein interfaces using machine learning (Chem. Commun. (2020) 56 (6774–6777) DOI: 10.1039/D0CC01959C)

Shringari S
Giannakoulias S
Ferrie J
et al.

Chemical Communications

DOI: 10.1039/d0cc90361b

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NSF grant CHE-1150351 in the published version of the acknowledgements should be replaced by CHE-1708759. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.

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Shringari, S. R., Giannakoulias, S., Ferrie, J. J., & Petersson, E. J. (2020, September 14). Erratum: Rosetta custom score functions accurately predict ΔΔGof mutations at protein-protein interfaces using machine learning (Chem. Commun. (2020) 56 (6774–6777) DOI: 10.1039/D0CC01959C). Chemical Communications. Royal Society of Chemistry. https://doi.org/10.1039/d0cc90361b

Erratum: Rosetta custom score functions accurately predict ΔΔGof mutations at protein-protein interfaces using machine learning (Chem. Commun. (2020) 56 (6774–6777) DOI: 10.1039/D0CC01959C)

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