Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities

Bibliographic Details
Main Authors: Tobias Schnitzer, Martin Schnurr, Andrew F. Zahrt, Nader Sakhaee, Scott E. Denmark, Helma Wennemers
Format: Article
Language:English
Published: American Chemical Society 2024-02-01
Series:ACS Central Science
Online Access:https://doi.org/10.1021/acscentsci.3c01284
_version_ 1797292658079563776
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 CatalystsSuccesses, 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 CatalystsSuccesses, Limitations, and Opportunities
ACS Central Science
title Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
title_full Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
title_fullStr Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
title_full_unstemmed Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
title_short Machine Learning to Develop Peptide CatalystsSuccesses, Limitations, and Opportunities
title_sort machine learning to develop peptide catalystssuccesses limitations and opportunities
url https://doi.org/10.1021/acscentsci.3c01284
work_keys_str_mv AT tobiasschnitzer machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities
AT martinschnurr machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities
AT andrewfzahrt machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities
AT nadersakhaee machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities
AT scottedenmark machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities
AT helmawennemers machinelearningtodeveloppeptidecatalystssuccesseslimitationsandopportunities