TDR Targets

TDR Targets integrates pathogen-specific genomic, functional and chemical bioactivity data to support identification and prioritization of molecular drug targets for neglected human diseases.

Key Features:

• Integrated genomic and functional datasets: Aggregates pathogen-specific genomic data with gene expression profiles, phylogenetic relationships, and essentiality metrics.
• Literature-curated data aggregation: Incorporates curated information from the scientific literature to augment genomic and functional annotations.
• Target prioritization by weighted criteria: Enables ranking and prioritization of target genes by assigning numerical weights to specific selection criteria.
• Expanded genome coverage: Includes additional genomes, notably helminth genomes, to broaden pathogen representation.
• Chemical structure, property, and bioactivity integration: Links biological ligands, drugs, and inhibitors with associated chemical structures, physicochemical properties, and bioactivity data.
• Cheminformatics querying and visualization: Provides cheminformatics tools to query and visualize chemical data alongside genomic information.
• Gene–small molecule linkage analysis: Supports investigation of known and predicted linkages between genes and small molecules to inform druggability assessments.

Scientific Applications:

• Molecular target identification: Prioritizes candidate molecular targets for drug development against pathogens causing neglected human diseases.
• Drug–target linkage exploration: Facilitates exploration of known and predicted interactions between proteins and small molecules to assess druggability.
• Comparative and phylogenetic analyses: Enables comparisons of genomic and phylogenetic relationships across pathogen genomes, including helminths.
• Cheminformatics-enabled lead exploration: Integrates chemical space with genomics to support identification of ligands, inhibitors, and drug-like molecules for targets.

Methodology:

Integrates pathogen genomic data, gene expression, phylogenetic and essentiality metrics with literature-curated annotations; incorporates additional genomes (including helminths); links chemical structures, properties and bioactivity data and provides cheminformatics tools for querying, visualizing chemical data and for ranking targets using user-assigned numerical weights to investigate known and predicted gene–small molecule linkages.