Details
Title
Publisher Correction: A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes
Author
Cadet Frédéric 1 ; Fontaine, Nicolas 1 ; Li, Guangyue 2 ; Sanchis Joaquin 3 ; Chong Matthieu Ng Fuk 4 ; Pandjaitan Rudy 4 ; Vetrivel Iyanar 4
; Offmann Bernard 5 ; Reetz, Manfred T 6
1 PEACCEL, Protein Engineering Accelerator, Paris, France
2 Philipps-University, Department of Chemistry, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756)
3 Monash University, Faculty of Pharmacy and Pharmaceutical Sciences, Parkville, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)
4 PEACCEL, Protein Engineering Accelerator, Paris, France (GRID:grid.1002.3)
5 Université de Nantes, UFIP, UMR 6286 CNRS, UFR Sciences et Techniques, Nantes, France (GRID:grid.4817.a)
6 Philipps-University, Department of Chemistry, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756); Max-Planck-Institut Fuer Kohlenforschung, Mülheim, Germany (GRID:grid.419607.d) (ISNI:0000 0001 2096 9941)
; Offmann Bernard 5 ; Reetz, Manfred T 6 1 PEACCEL, Protein Engineering Accelerator, Paris, France
2 Philipps-University, Department of Chemistry, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756)
3 Monash University, Faculty of Pharmacy and Pharmaceutical Sciences, Parkville, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)
4 PEACCEL, Protein Engineering Accelerator, Paris, France (GRID:grid.1002.3)
5 Université de Nantes, UFIP, UMR 6286 CNRS, UFR Sciences et Techniques, Nantes, France (GRID:grid.4817.a)
6 Philipps-University, Department of Chemistry, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756); Max-Planck-Institut Fuer Kohlenforschung, Mülheim, Germany (GRID:grid.419607.d) (ISNI:0000 0001 2096 9941)
Publication year
2021
Publication date
2021
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2511563887
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.