Transforming fragmented biomedical data into
connected intelligence for next-generation drug
discovery

OSDDIN integrates biological entities like diseases, phenotypes, genes, proteins, pathways, drugs, and their
relationships into a unified biomedical knowledge graph empowering researchers to transform therapeutic
knowledge into discoveries and discoveries into real-world healthcare solutions.

Platform At A Glance

Protein Interaction

21,800+
Diseases
82,500+
Genes & Alias Names
640,400+
String PPI Interactions
479,800+
Intact Interactions
222,000+
Biogrid Interactions

Biomedical Knowledge Graph

190K+
Biomedical Entities
21.8M+
Relationships
10
Entity Categories
36
Relationship Types
61K+
Genes
36K+
Diseases

* After removing redundant connections

Platform Modules

Modules, one integrated
knowledge fabric.

Knowledge Graph

Module 01

Knowledge Base

In Collaboration with IIIT Delhi

A curated compilation of computational resources for drug discovery, openly shared via GitHub and Zenodo. Integrates DrugPedia to serve researchers and is freely accessible for academic use.

Module 02

TBEP v2

Target & Biomarker Exploration Portal

Network-based bioinformatics tool that accelerates drug target and biomarker discovery via network analysis. Integrates deep multimodal datasets to uncover causal disease mechanisms tied to specific phenotypes, with a built-in LLM assistant for exploring complex biological relationships.

Explore module →
Knowledge Graph