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Genome mining methods to discover bioactive natural products

Covering: 2016 to 2021 With genetic information available for hundreds of thousands of organisms in publicly accessible databases, scientists have an unprecedented opportunity to meticulously survey the diversity and inner workings of life. The natural product research community has harnessed this b...

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Detalles Bibliográficos
Autores principales: Bauman, Katherine D., Butler, Keelie S., Moore, Bradley S., Chekan, Jonathan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597713/
https://www.ncbi.nlm.nih.gov/pubmed/34734626
http://dx.doi.org/10.1039/d1np00032b
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author Bauman, Katherine D.
Butler, Keelie S.
Moore, Bradley S.
Chekan, Jonathan R.
author_facet Bauman, Katherine D.
Butler, Keelie S.
Moore, Bradley S.
Chekan, Jonathan R.
author_sort Bauman, Katherine D.
collection PubMed
description Covering: 2016 to 2021 With genetic information available for hundreds of thousands of organisms in publicly accessible databases, scientists have an unprecedented opportunity to meticulously survey the diversity and inner workings of life. The natural product research community has harnessed this breadth of sequence information to mine microbes, plants, and animals for biosynthetic enzymes capable of producing bioactive compounds. Several orthogonal genome mining strategies have been developed in recent years to target specific chemical features or biological properties of bioactive molecules using biosynthetic, resistance, or transporter proteins. These “biosynthetic hooks” allow researchers to query for biosynthetic gene clusters with a high probability of encoding previously undiscovered, bioactive compounds. This review highlights recent case studies that feature orthogonal approaches that exploit genomic information to specifically discover bioactive natural products and their gene clusters.
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spelling pubmed-85977132021-11-23 Genome mining methods to discover bioactive natural products Bauman, Katherine D. Butler, Keelie S. Moore, Bradley S. Chekan, Jonathan R. Nat Prod Rep Chemistry Covering: 2016 to 2021 With genetic information available for hundreds of thousands of organisms in publicly accessible databases, scientists have an unprecedented opportunity to meticulously survey the diversity and inner workings of life. The natural product research community has harnessed this breadth of sequence information to mine microbes, plants, and animals for biosynthetic enzymes capable of producing bioactive compounds. Several orthogonal genome mining strategies have been developed in recent years to target specific chemical features or biological properties of bioactive molecules using biosynthetic, resistance, or transporter proteins. These “biosynthetic hooks” allow researchers to query for biosynthetic gene clusters with a high probability of encoding previously undiscovered, bioactive compounds. This review highlights recent case studies that feature orthogonal approaches that exploit genomic information to specifically discover bioactive natural products and their gene clusters. The Royal Society of Chemistry 2021-11-04 /pmc/articles/PMC8597713/ /pubmed/34734626 http://dx.doi.org/10.1039/d1np00032b Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Bauman, Katherine D.
Butler, Keelie S.
Moore, Bradley S.
Chekan, Jonathan R.
Genome mining methods to discover bioactive natural products
title Genome mining methods to discover bioactive natural products
title_full Genome mining methods to discover bioactive natural products
title_fullStr Genome mining methods to discover bioactive natural products
title_full_unstemmed Genome mining methods to discover bioactive natural products
title_short Genome mining methods to discover bioactive natural products
title_sort genome mining methods to discover bioactive natural products
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597713/
https://www.ncbi.nlm.nih.gov/pubmed/34734626
http://dx.doi.org/10.1039/d1np00032b
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