Correction: Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

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

doi:10.1039/D0CC90361B

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Correction: Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

Sumant R. Shringari,

†^a Sam Giannakoulias,

†^a John J. Ferrie

*^a and E. James Petersson

*^a

Author affiliations

* Corresponding authors

^a Department of Chemistry, University of Pennsylvania, 231 South 34th Street, Philadelphia, PA 19104, USA
E-mail: jferrie@sas.upenn.edu, ejpetersson@sas.upenn.edu

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: 10.1039/D0CC01959C.

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DOI: https://doi.org/10.1039/D0CC90361B
Article type: Correction
Submitted: 13 Aug 2020
Accepted: 13 Aug 2020
First published: 26 Aug 2020
This article is Open Access

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Chem. Commun., 2020,56, 10377-10377

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Correction: Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

S. R. Shringari, S. Giannakoulias, J. J. Ferrie and E. J. Petersson, Chem. Commun., 2020, 56, 10377 DOI: 10.1039/D0CC90361B

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Chemical Communications

Correction: Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

Abstract

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Correction: Rosetta custom score functions accurately predict ΔΔG of mutations at protein–protein interfaces using machine learning

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