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Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design

The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product‐inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intel...

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Autores principales: Friedrich, Lukas, Cingolani, Gino, Ko, Ying‐Hui, Iaselli, Mariaclara, Miciaccia, Morena, Perrone, Maria Grazia, Neukirch, Konstantin, Bobinger, Veronika, Merk, Daniel, Hofstetter, Robert Klaus, Werz, Oliver, Koeberle, Andreas, Scilimati, Antonio, Schneider, Gisbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373093/
https://www.ncbi.nlm.nih.gov/pubmed/34176236
http://dx.doi.org/10.1002/advs.202100832
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author Friedrich, Lukas
Cingolani, Gino
Ko, Ying‐Hui
Iaselli, Mariaclara
Miciaccia, Morena
Perrone, Maria Grazia
Neukirch, Konstantin
Bobinger, Veronika
Merk, Daniel
Hofstetter, Robert Klaus
Werz, Oliver
Koeberle, Andreas
Scilimati, Antonio
Schneider, Gisbert
author_facet Friedrich, Lukas
Cingolani, Gino
Ko, Ying‐Hui
Iaselli, Mariaclara
Miciaccia, Morena
Perrone, Maria Grazia
Neukirch, Konstantin
Bobinger, Veronika
Merk, Daniel
Hofstetter, Robert Klaus
Werz, Oliver
Koeberle, Andreas
Scilimati, Antonio
Schneider, Gisbert
author_sort Friedrich, Lukas
collection PubMed
description The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product‐inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm constructs innovative small molecules that can be synthesized in three steps, following the computationally suggested synthesis route. Computational activity prediction reveals cyclooxygenase (COX) as a putative target of both Marinopyrrole A and the de novo designs. The molecular designs are experimentally confirmed as selective COX‐1 inhibitors with nanomolar potency. X‐ray structure analysis reveals the binding of the most selective compound to COX‐1. This molecular design approach provides a blueprint for natural product‐inspired hit and lead identification for drug discovery with machine intelligence.
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spelling pubmed-83730932021-08-24 Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design Friedrich, Lukas Cingolani, Gino Ko, Ying‐Hui Iaselli, Mariaclara Miciaccia, Morena Perrone, Maria Grazia Neukirch, Konstantin Bobinger, Veronika Merk, Daniel Hofstetter, Robert Klaus Werz, Oliver Koeberle, Andreas Scilimati, Antonio Schneider, Gisbert Adv Sci (Weinh) Research Articles The repertoire of natural products offers tremendous opportunities for chemical biology and drug discovery. Natural product‐inspired synthetic molecules represent an ecologically and economically sustainable alternative to the direct utilization of natural products. De novo design with machine intelligence bridges the gap between the worlds of bioactive natural products and synthetic molecules. On employing the compound Marinopyrrole A from marine Streptomyces as a design template, the algorithm constructs innovative small molecules that can be synthesized in three steps, following the computationally suggested synthesis route. Computational activity prediction reveals cyclooxygenase (COX) as a putative target of both Marinopyrrole A and the de novo designs. The molecular designs are experimentally confirmed as selective COX‐1 inhibitors with nanomolar potency. X‐ray structure analysis reveals the binding of the most selective compound to COX‐1. This molecular design approach provides a blueprint for natural product‐inspired hit and lead identification for drug discovery with machine intelligence. John Wiley and Sons Inc. 2021-06-27 /pmc/articles/PMC8373093/ /pubmed/34176236 http://dx.doi.org/10.1002/advs.202100832 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Friedrich, Lukas
Cingolani, Gino
Ko, Ying‐Hui
Iaselli, Mariaclara
Miciaccia, Morena
Perrone, Maria Grazia
Neukirch, Konstantin
Bobinger, Veronika
Merk, Daniel
Hofstetter, Robert Klaus
Werz, Oliver
Koeberle, Andreas
Scilimati, Antonio
Schneider, Gisbert
Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title_full Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title_fullStr Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title_full_unstemmed Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title_short Learning from Nature: From a Marine Natural Product to Synthetic Cyclooxygenase‐1 Inhibitors by Automated De Novo Design
title_sort learning from nature: from a marine natural product to synthetic cyclooxygenase‐1 inhibitors by automated de novo design
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373093/
https://www.ncbi.nlm.nih.gov/pubmed/34176236
http://dx.doi.org/10.1002/advs.202100832
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