Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783739884182175744 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8373093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT friedrichlukas learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT cingolanigino learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT koyinghui learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT iasellimariaclara learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT miciacciamorena learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT perronemariagrazia learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT neukirchkonstantin learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT bobingerveronika learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT merkdaniel learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT hofstetterrobertklaus learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT werzoliver learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT koeberleandreas learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT scilimatiantonio learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign AT schneidergisbert learningfromnaturefromamarinenaturalproducttosyntheticcyclooxygenase1inhibitorsbyautomateddenovodesign |