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aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance
Biofilms play an important role in the antibiotic drug resistance, which is threatening public health globally. Almost, all microbes mimic multicellular lifestyle to form biofilm by undergoing phenotypic changes to adapt adverse environmental conditions. Many anti-biofilm agents have been experiment...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753393/ https://www.ncbi.nlm.nih.gov/pubmed/29156005 http://dx.doi.org/10.1093/nar/gkx1157 |
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author | Rajput, Akanksha Thakur, Anamika Sharma, Shivangi Kumar, Manoj |
author_facet | Rajput, Akanksha Thakur, Anamika Sharma, Shivangi Kumar, Manoj |
author_sort | Rajput, Akanksha |
collection | PubMed |
description | Biofilms play an important role in the antibiotic drug resistance, which is threatening public health globally. Almost, all microbes mimic multicellular lifestyle to form biofilm by undergoing phenotypic changes to adapt adverse environmental conditions. Many anti-biofilm agents have been experimentally validated to disrupt the biofilms during last three decades. To organize this data, we developed the ‘aBiofilm’ resource (http://bioinfo.imtech.res.in/manojk/abiofilm/) that harbors a database, a predictor, and the data visualization modules. The database contains biological, chemical, and structural details of 5027 anti-biofilm agents (1720 unique) reported from 1988–2017. These agents target over 140 organisms including Gram-negative, Gram-positive bacteria, and fungus. They are mainly chemicals, peptides, phages, secondary metabolites, antibodies, nanoparticles and extracts. They show the diverse mode of actions by attacking mainly signaling molecules, biofilm matrix, genes, extracellular polymeric substances, and many more. The QSAR based predictor identifies the anti-biofilm potential of an unknown chemical with an accuracy of ∼80.00%. The data visualization section summarized the biofilm stages targeted (Circos plot); interaction maps (Cytoscape) and chemicals diversification (CheS-Mapper) of the agents. This comprehensive platform would help the researchers to understand the multilevel communication in the microbial consortium. It may aid in developing anti-biofilm therapeutics to deal with antibiotic drug resistance menace. |
format | Online Article Text |
id | pubmed-5753393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533932018-01-05 aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance Rajput, Akanksha Thakur, Anamika Sharma, Shivangi Kumar, Manoj Nucleic Acids Res Database Issue Biofilms play an important role in the antibiotic drug resistance, which is threatening public health globally. Almost, all microbes mimic multicellular lifestyle to form biofilm by undergoing phenotypic changes to adapt adverse environmental conditions. Many anti-biofilm agents have been experimentally validated to disrupt the biofilms during last three decades. To organize this data, we developed the ‘aBiofilm’ resource (http://bioinfo.imtech.res.in/manojk/abiofilm/) that harbors a database, a predictor, and the data visualization modules. The database contains biological, chemical, and structural details of 5027 anti-biofilm agents (1720 unique) reported from 1988–2017. These agents target over 140 organisms including Gram-negative, Gram-positive bacteria, and fungus. They are mainly chemicals, peptides, phages, secondary metabolites, antibodies, nanoparticles and extracts. They show the diverse mode of actions by attacking mainly signaling molecules, biofilm matrix, genes, extracellular polymeric substances, and many more. The QSAR based predictor identifies the anti-biofilm potential of an unknown chemical with an accuracy of ∼80.00%. The data visualization section summarized the biofilm stages targeted (Circos plot); interaction maps (Cytoscape) and chemicals diversification (CheS-Mapper) of the agents. This comprehensive platform would help the researchers to understand the multilevel communication in the microbial consortium. It may aid in developing anti-biofilm therapeutics to deal with antibiotic drug resistance menace. Oxford University Press 2018-01-04 2017-11-16 /pmc/articles/PMC5753393/ /pubmed/29156005 http://dx.doi.org/10.1093/nar/gkx1157 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Rajput, Akanksha Thakur, Anamika Sharma, Shivangi Kumar, Manoj aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title | aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title_full | aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title_fullStr | aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title_full_unstemmed | aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title_short | aBiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
title_sort | abiofilm: a resource of anti-biofilm agents and their potential implications in targeting antibiotic drug resistance |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753393/ https://www.ncbi.nlm.nih.gov/pubmed/29156005 http://dx.doi.org/10.1093/nar/gkx1157 |
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