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TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration
The volume of biological, chemical and functional data deposited in the public domain is growing rapidly, thanks to next generation sequencing and highly-automated screening technologies. These datasets represent invaluable resources for drug discovery, particularly for less studied neglected diseas...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145610/ https://www.ncbi.nlm.nih.gov/pubmed/31680154 http://dx.doi.org/10.1093/nar/gkz999 |
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author | Urán Landaburu, Lionel Berenstein, Ariel J Videla, Santiago Maru, Parag Shanmugam, Dhanasekaran Chernomoretz, Ariel Agüero, Fernán |
author_facet | Urán Landaburu, Lionel Berenstein, Ariel J Videla, Santiago Maru, Parag Shanmugam, Dhanasekaran Chernomoretz, Ariel Agüero, Fernán |
author_sort | Urán Landaburu, Lionel |
collection | PubMed |
description | The volume of biological, chemical and functional data deposited in the public domain is growing rapidly, thanks to next generation sequencing and highly-automated screening technologies. These datasets represent invaluable resources for drug discovery, particularly for less studied neglected disease pathogens. To leverage these datasets, smart and intensive data integration is required to guide computational inferences across diverse organisms. The TDR Targets chemogenomics resource integrates genomic data from human pathogens and model organisms along with information on bioactive compounds and their annotated activities. This report highlights the latest updates on the available data and functionality in TDR Targets 6. Based on chemogenomic network models providing links between inhibitors and targets, the database now incorporates network-driven target prioritizations, and novel visualizations of network subgraphs displaying chemical- and target-similarity neighborhoods along with associated target-compound bioactivity links. Available data can be browsed and queried through a new user interface, that allow users to perform prioritizations of protein targets and chemical inhibitors. As such, TDR Targets now facilitates the investigation of drug repurposing against pathogen targets, which can potentially help in identifying candidate targets for bioactive compounds with previously unknown targets. TDR Targets is available at https://tdrtargets.org. |
format | Online Article Text |
id | pubmed-7145610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71456102020-04-13 TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration Urán Landaburu, Lionel Berenstein, Ariel J Videla, Santiago Maru, Parag Shanmugam, Dhanasekaran Chernomoretz, Ariel Agüero, Fernán Nucleic Acids Res Database Issue The volume of biological, chemical and functional data deposited in the public domain is growing rapidly, thanks to next generation sequencing and highly-automated screening technologies. These datasets represent invaluable resources for drug discovery, particularly for less studied neglected disease pathogens. To leverage these datasets, smart and intensive data integration is required to guide computational inferences across diverse organisms. The TDR Targets chemogenomics resource integrates genomic data from human pathogens and model organisms along with information on bioactive compounds and their annotated activities. This report highlights the latest updates on the available data and functionality in TDR Targets 6. Based on chemogenomic network models providing links between inhibitors and targets, the database now incorporates network-driven target prioritizations, and novel visualizations of network subgraphs displaying chemical- and target-similarity neighborhoods along with associated target-compound bioactivity links. Available data can be browsed and queried through a new user interface, that allow users to perform prioritizations of protein targets and chemical inhibitors. As such, TDR Targets now facilitates the investigation of drug repurposing against pathogen targets, which can potentially help in identifying candidate targets for bioactive compounds with previously unknown targets. TDR Targets is available at https://tdrtargets.org. Oxford University Press 2020-01-08 2019-11-04 /pmc/articles/PMC7145610/ /pubmed/31680154 http://dx.doi.org/10.1093/nar/gkz999 Text en © The Author(s) 2019. 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 Non-Commercial 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 Urán Landaburu, Lionel Berenstein, Ariel J Videla, Santiago Maru, Parag Shanmugam, Dhanasekaran Chernomoretz, Ariel Agüero, Fernán TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title | TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title_full | TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title_fullStr | TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title_full_unstemmed | TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title_short | TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
title_sort | tdr targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145610/ https://www.ncbi.nlm.nih.gov/pubmed/31680154 http://dx.doi.org/10.1093/nar/gkz999 |
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