Open Access Article
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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
* and
E. James
Petersson
*
Department of Chemistry, University of Pennsylvania, 231 South 34th Street, Philadelphia, PA 19104, USA. E-mail: jferrie@sas.upenn.edu; ejpetersson@sas.upenn.edu
First published on 26th August 2020
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.
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.
Footnote |
| † These authors contributed equally. |
| This journal is © The Royal Society of Chemistry 2020 |