date

is a Data Source.

DATE (Drugs to target pAthways by the Tissue Expression) is a dataset from the Tatonetti lab connecting 1,034 drugs to 954 Reactome pathways in 259 human tissues and cell lines. It combines DrugBank drug-target pairs with tissue expression from GTEx, the GNF U133A gene atlas, the NCI-60 cell lines and the Human Proteome Map. It has not been updated since 2018.

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Homepage

date

Repository

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External IDs
  • Infores: infores:date

Product Summary

Products

From this Resource
ID Name URL Category Format Description
date.archive DATE Archive ZIP DATE.zip (6.9 MB) Product tsv ZIP with two TSV files: Drug_target_r...

Details

Drugs to target pAthways by the Tissue Expression

Overview

DATE (Drugs to target pAthways by the Tissue Expression) was a computational resource developed to integrate drug-target information with biological pathway data and tissue-specific gene expression patterns. The goal was to predict tissue-specific drug effects and identify therapeutic opportunities based on pathway perturbations in specific tissue contexts.

Approach

  • Drug-Target Integration: Connected drugs to their molecular targets
  • Pathway Mapping: Linked targets to biological pathways
  • Tissue Expression: Incorporated tissue-specific gene expression data
  • Systems Pharmacology: Predicted tissue-specific drug effects

Applications

  • Predicting tissue-specific adverse drug effects
  • Identifying repurposing opportunities
  • Understanding drug mechanism of action in context
  • Prioritizing therapeutic targets by tissue

Activity Status

The DATE resource appears to be inactive. The homepage URL points to an archived ZIP file on Amazon S3, suggesting the resource is no longer actively maintained or updated. No recent publications or updates are available.

  • Systems Pharmacology: Integrative approach to understanding drug action
  • Tissue-Specific Effects: Importance of cellular context in drug response
  • Network Medicine: Using biological networks to understand disease and drugs

Legacy

DATE represented an important approach to integrating multiple data types (drugs, targets, pathways, expression) for predicting tissue-specific pharmacological effects, contributing to the field of computational systems pharmacology.

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Created: October 30, 2025 | Last modified: October 04, 2026