Issue 71, 2020
From the journal:

Chemical Communications

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

Sumant R. Shringari, ORCID logo †a   Sam Giannakoulias, ORCID logo †a   John J. Ferrie ORCID logo *a  and  E. James Petersson ORCID logo *a  

* 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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Article information

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
Creative Commons BY license

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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