Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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American Chemical Society
2024-02-01
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Series: | ACS Central Science |
Online Access: | https://doi.org/10.1021/acscentsci.3c01284 |
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author | Tobias Schnitzer Martin Schnurr Andrew F. Zahrt Nader Sakhaee Scott E. Denmark Helma Wennemers |
author_facet | Tobias Schnitzer Martin Schnurr Andrew F. Zahrt Nader Sakhaee Scott E. Denmark Helma Wennemers |
author_sort | Tobias Schnitzer |
collection | DOAJ |
first_indexed | 2024-03-07T19:59:39Z |
format | Article |
id | doaj.art-0a73658845ee4e8f83c4e94b41446422 |
institution | Directory Open Access Journal |
issn | 2374-7951 |
language | English |
last_indexed | 2024-03-07T19:59:39Z |
publishDate | 2024-02-01 |
publisher | American Chemical Society |
record_format | Article |
series | ACS Central Science |
spelling | doaj.art-0a73658845ee4e8f83c4e94b414464222024-02-28T09:09:20ZengAmerican Chemical SocietyACS Central Science2374-79512024-02-0110236737310.1021/acscentsci.3c01284Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and OpportunitiesTobias Schnitzer0Martin Schnurr1Andrew F. Zahrt2Nader Sakhaee3Scott E. Denmark4Helma Wennemers5Laboratory of Organic Chemistry, ETH Zurich, D-CHAB, Zurich, SwitzerlandLaboratory of Organic Chemistry, ETH Zurich, D-CHAB, Zurich, SwitzerlandRoger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, Illinois, United StatesRoger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, Illinois, United StatesRoger Adams Laboratory, Department of Chemistry, University of Illinois, Urbana, Illinois, United StatesLaboratory of Organic Chemistry, ETH Zurich, D-CHAB, Zurich, Switzerlandhttps://doi.org/10.1021/acscentsci.3c01284 |
spellingShingle | Tobias Schnitzer Martin Schnurr Andrew F. Zahrt Nader Sakhaee Scott E. Denmark Helma Wennemers Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities ACS Central Science |
title | Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities |
title_full | Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities |
title_fullStr | Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities |
title_full_unstemmed | Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities |
title_short | Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities |
title_sort | machine learning to develop peptide catalystssuccesses limitations and opportunities |
url | https://doi.org/10.1021/acscentsci.3c01284 |
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