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A model to predict anti-tuberculosis activity: value proposition for marine microorganisms
The development of new antibiotics effective against all strains of tuberculosis (TB) is needed. To evaluate the potential of marine microbe-derived natural products as anti-TB leads, we analyzed and compared the physico-chemical properties of 39 current TB drugs and candidates against 60 confirmed...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399163/ https://www.ncbi.nlm.nih.gov/pubmed/27406906 http://dx.doi.org/10.1038/ja.2016.87 |
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author | Liu, Miaomiao Grkovic, Tanja Zhang, Lixin Liu, Xueting Quinn, Ronald J |
author_facet | Liu, Miaomiao Grkovic, Tanja Zhang, Lixin Liu, Xueting Quinn, Ronald J |
author_sort | Liu, Miaomiao |
collection | PubMed |
description | The development of new antibiotics effective against all strains of tuberculosis (TB) is needed. To evaluate the potential of marine microbe-derived natural products as anti-TB leads, we analyzed and compared the physico-chemical properties of 39 current TB drugs and candidates against 60 confirmed mycobacteria-active natural products. We showed that anti-TB natural products sourced from marine microbes have a large overlap with TB drug-like space. A model to predict potential anti-TB drugs is proposed. |
format | Online Article Text |
id | pubmed-5399163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53991632017-05-09 A model to predict anti-tuberculosis activity: value proposition for marine microorganisms Liu, Miaomiao Grkovic, Tanja Zhang, Lixin Liu, Xueting Quinn, Ronald J J Antibiot (Tokyo) Review Article The development of new antibiotics effective against all strains of tuberculosis (TB) is needed. To evaluate the potential of marine microbe-derived natural products as anti-TB leads, we analyzed and compared the physico-chemical properties of 39 current TB drugs and candidates against 60 confirmed mycobacteria-active natural products. We showed that anti-TB natural products sourced from marine microbes have a large overlap with TB drug-like space. A model to predict potential anti-TB drugs is proposed. Nature Publishing Group 2016-08 2016-07-13 /pmc/articles/PMC5399163/ /pubmed/27406906 http://dx.doi.org/10.1038/ja.2016.87 Text en Copyright © 2016 Japan Antibiotics Research Association http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Review Article Liu, Miaomiao Grkovic, Tanja Zhang, Lixin Liu, Xueting Quinn, Ronald J A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title | A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title_full | A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title_fullStr | A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title_full_unstemmed | A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title_short | A model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
title_sort | model to predict anti-tuberculosis activity: value proposition for marine microorganisms |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399163/ https://www.ncbi.nlm.nih.gov/pubmed/27406906 http://dx.doi.org/10.1038/ja.2016.87 |
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