SCFBio, IIT Delhi
Hauz Khas, New Delhi
BIMP
BIMP
A comprehensive repository bridging Traditional Indian Medicine with Modern Computational Drug Discovery.
India possesses a rich heritage of traditional medicine systems like Ayurveda, Siddha, and Unani. However, much of this knowledge remains documented in ancient texts or scattered across disparate literature sources.
The Bioactivity of Indian Medicinal Plants (BIMP) database was created to digitize, standardize, and scientifically validate this knowledge. By mapping phytochemicals to their 3D structures and biological targets, we aim to accelerate the discovery of novel therapeutics using modern cheminformatics and High-Performance Computing (HPC).
Built for Biologists, Chemists, and Data Scientists.
Access over 100,000+ phytochemicals curated from 6,000+ medicinal plants. Each compound includes manually verified 2D/3D structures (SDF, PDB) and canonical SMILES.
Filter libraries based on Physico-chemical properties and drug-likeness rules (Lipinski, Ghose, Veber, Egan & Muegge).
Integrated web-based High Throughput Virtual Screening pipeline using SEARCH-ML. Users can upload protein targets (PDB) and screen plant libraries directly in the browser.
Interactive graphs visualizing Polypharmacology. Explore complex relationships between Plants Phytochemicals Gene Targets Diseases.
Identify structural analogs using Tanimoto Coefficients and Morgan Fingerprints. Useful for Scaffold Hopping and Lead Optimization.
Advanced WebGL-based 3D molecule viewers (3Dmol.js) allowing rotation, zooming, and surface analysis of small molecules and protein-ligand complexes.
Extraction from Flora of India, Ayurvedic texts, and PubChem.
Structure cleaning, salt removal, and stereochemistry validation.
Computing 50+ descriptors (LogP, TPSA, Rings) using RDKit.
Web interface with search engines and visualization tools.
BIMP is developed and maintained by the Supercomputing Facility for Bioinformatics & Computational Biology (SCFBio), IIT Delhi.
Emeritus Professor, Department of Chemistry, IIT Delhi
Professor, Kusuma School of Biological Sciences, IIT Delhi
Professor, Kusuma School of Biological Sciences, IIT Delhi
Lead Developer (PhD Scholar)
Data Curator (PhD Scholar)
Project Scientist
Project Trainee
If you use BIMP in your research, please cite our publication. This supports the maintenance of the database.
Chaurasia, D. K., Anjum, R., Sharma, A., Mishra, M., Shekhar, S., Patel, A. K., Mittal, A., & Jayaram, B. (2026). BIMP: Unveiling the phytochemical richness of Indian medicinal plants as potential therapeutic agents. In A. K. Saxena & A. Saxena (Eds.), Global trends in health, technology and management II (pp. 283–298). Springer Nature Switzerland.
https://doi.org/10.1007/978-3-032-12320-6_16