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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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 |
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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 |
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