Cargando…

Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways

Natural products (NPs), also known as secondary metabolites, are produced in bacteria, fungi, and plants. NPs represent a rich source of antibacterial, antifungal, and anticancer agents. Recent advances in DNA sequencing technologies and bioinformatics unveiled nature's great potential for synt...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Hengqian, Shi, Chengyou, Zhao, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957853/
https://www.ncbi.nlm.nih.gov/pubmed/31926431
http://dx.doi.org/10.1016/j.isci.2019.100795
_version_ 1783487366100418560
author Ren, Hengqian
Shi, Chengyou
Zhao, Huimin
author_facet Ren, Hengqian
Shi, Chengyou
Zhao, Huimin
author_sort Ren, Hengqian
collection PubMed
description Natural products (NPs), also known as secondary metabolites, are produced in bacteria, fungi, and plants. NPs represent a rich source of antibacterial, antifungal, and anticancer agents. Recent advances in DNA sequencing technologies and bioinformatics unveiled nature's great potential for synthesizing numerous NPs that may confer unprecedented structural and biological features. However, discovering novel bioactive NPs by genome mining remains a challenge. Moreover, even with interesting bioactivity, the low productivity of many NPs significantly limits their practical applications. Here we discuss the progress in developing bioinformatics tools for efficient discovery of bioactive NPs. In addition, we highlight computational methods for optimizing the productivity of NPs of pharmaceutical importance.
format Online
Article
Text
id pubmed-6957853
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-69578532020-01-17 Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways Ren, Hengqian Shi, Chengyou Zhao, Huimin iScience Review Natural products (NPs), also known as secondary metabolites, are produced in bacteria, fungi, and plants. NPs represent a rich source of antibacterial, antifungal, and anticancer agents. Recent advances in DNA sequencing technologies and bioinformatics unveiled nature's great potential for synthesizing numerous NPs that may confer unprecedented structural and biological features. However, discovering novel bioactive NPs by genome mining remains a challenge. Moreover, even with interesting bioactivity, the low productivity of many NPs significantly limits their practical applications. Here we discuss the progress in developing bioinformatics tools for efficient discovery of bioactive NPs. In addition, we highlight computational methods for optimizing the productivity of NPs of pharmaceutical importance. Elsevier 2019-12-27 /pmc/articles/PMC6957853/ /pubmed/31926431 http://dx.doi.org/10.1016/j.isci.2019.100795 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Ren, Hengqian
Shi, Chengyou
Zhao, Huimin
Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title_full Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title_fullStr Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title_full_unstemmed Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title_short Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways
title_sort computational tools for discovering and engineering natural product biosynthetic pathways
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957853/
https://www.ncbi.nlm.nih.gov/pubmed/31926431
http://dx.doi.org/10.1016/j.isci.2019.100795
work_keys_str_mv AT renhengqian computationaltoolsfordiscoveringandengineeringnaturalproductbiosyntheticpathways
AT shichengyou computationaltoolsfordiscoveringandengineeringnaturalproductbiosyntheticpathways
AT zhaohuimin computationaltoolsfordiscoveringandengineeringnaturalproductbiosyntheticpathways