TDR Targets 6: Driving drug discovery for human pathogens through intensive chemogenomic data integration
The TDR Targets Database
Abstract
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. We developed the TDR Targets chemogenomics resource to integrate genomic data from human pathogens and model organisms along with information on bioactive compounds and their annotated activities. In this report we highlight 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, the database 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.
Lionel Urán Landaburu
Former Lab Member (2016 – 2023)
PhD Fellow, teacher and science divulgation enthusiast.
Fernán Agüero
Principal Investigator, Assistant Professor
Using and generating data to guide discovery of new drugs and diagnostics.