| URL: | https://tdrtargets.org |
| Full name: | |
| Description: | TDR Targets functions both as a website looked for information on targets, drugs and/or bioactive compounds of interest, and as a tool for prioritization of targets in whole genomes. |
| Year founded: | 2012 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | Argentina |
| Data type: | |
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| Database category: | |
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| Keywords: |
| University/Institution: | Universidad de San Martín |
| Address: | Ariel J Berenstein, Instituto Multidisciplinario de Investigaciones en Patolog´ıas Pediatricas (IMIPP), CONICET-GCBA, Laboratorio de Biolog ´ ´ıa Molecular, Division Patolog ´ ´ıa, Hospital de Ninos Ricardo Guti ˜ errez, Ciudad Aut ´ onoma de Buenos Aires, Argentina |
| City: | |
| Province/State: | |
| Country/Region: | Argentina |
| Contact name (PI/Team): | Fernan Ag ´ uero |
| Contact email (PI/Helpdesk): | fernan@iib.unsam.edu.ar |
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TDR Targets 6: driving drug discovery for human pathogens through intensive chemogenomic data integration. [PMID: 31680154]
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. |
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TDR Targets: a chemogenomics resource for neglected diseases. [PMID: 22116064]
The TDR Targets Database (http://tdrtargets.org) has been designed and developed as an online resource to facilitate the rapid identification and prioritization of molecular targets for drug development, focusing on pathogens responsible for neglected human diseases. The database integrates pathogen specific genomic information with functional data (e.g. expression, phylogeny, essentiality) for genes collected from various sources, including literature curation. This information can be browsed and queried using an extensive web interface with functionalities for combining, saving, exporting and sharing the query results. Target genes can be ranked and prioritized using numerical weights assigned to the criteria used for querying. In this report we describe recent updates to the TDR Targets database, including the addition of new genomes (specifically helminths), and integration of chemical structure, property and bioactivity information for biological ligands, drugs and inhibitors and cheminformatic tools for querying and visualizing these chemical data. These changes greatly facilitate exploration of linkages (both known and predicted) between genes and small molecules, yielding insight into whether particular proteins may be druggable, effectively allowing the navigation of chemical space in a genomics context. |