IMPPAT 3.0: An updated FAIR database of phytochemicals and formulations of Indian Medicinal plants
Abstract
Ayurvedic formulations represent a rich source of traditional knowledge, encompassing distinct therapeutic approaches, medicinal ingredients, and underlying principles of drug action. However, systematic integration of this knowledge with standardized modern biomedical terminology and resources remains limited. Here, we present IMPPAT 3.0, an updated version of the Indian Medicinal Plants, Phytochemistry And Therapeutics (IMPPAT: https://cb.imsc.res.in/imppat/) database that extends its scope by incorporating curated and harmonized information on Ayurvedic formulations from authoritative sources, while expanding its coverage of medicinal plants, phytochemicals, and therapeutic use terms. IMPPAT 3.0 further enriches plant and phytochemical information with annotations on clinical trials, patents, bioactivity, protein targets, spectral data, plant image links, and AyuCaRe reports. The compiled data is also organized as IMPPAT-KG, a knowledge graph that enables exploration of relationships among IMPPAT entities. We demonstrate the utility of the resource through a network medicine analysis of single herbal drugs (SHDs) reported for rheumatoid arthritis (RA), revealing significant proximity of their protein targets to RA-associated genes, and pinpointing of phytochemical pairs with potentially complementary effects on RA pathogenesis. In conclusion, by integrating traditional medicinal knowledge, IMPPAT provides a FAIR-compliant ethnopharmacological platform for systematic investigation of Indian medicinal plants and Ayurvedic formulations for drug discovery applications.
Related
- Organ-Differentiated Metabolomic Profiling Reveals Putative Associations Between Predicted Bioactivity and Database-Annotated Flavor in Medicinal–Edible Talinum paniculatum (Jacq.) Gaertn
- Rice Expression Database (RED) 2.0: an updated rice database integrating diverse RNA expression profiles based on the telomere-to-telomere reference genome
- ENdb 2.0: an updated database of experimentally supported enhancers
- gutMDisorder v3.0: an updated database for dysbiosis of the gut and oral microbiota in phenotypes and interventions
- EVLncRNAs 4.0: an updated database of experimentally validated functional long non-coding RNAs with evidence-grounded AI access
BibTeX
@misc{baskaran2026imppat,
title = {{IMPPAT 3.0: An updated FAIR database of phytochemicals and formulations of Indian Medicinal plants}},
author = {Shanmuga Priya Baskaran and Ajaya Kumar Sahoo and Priyotosh Sil and Rahul Tiwari and Nikhil Chivukula and Sabrina Elsa Eapen and Geetha Ranganathan and Preeti Semwal and Areejit Samal},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.07478},
eprint = {2610.07478},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.07478},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - IMPPAT 3.0: An updated FAIR database of phytochemicals and formulations of Indian Medicinal plants
AU - Shanmuga Priya Baskaran
AU - Ajaya Kumar Sahoo
AU - Priyotosh Sil
AU - Rahul Tiwari
AU - Nikhil Chivukula
AU - Sabrina Elsa Eapen
AU - Geetha Ranganathan
AU - Preeti Semwal
AU - Areejit Samal
PY - 2026
DA - 2026/10/05
PB - arXiv
DO - 10.48550/arxiv.2610.07478
UR - https://arxiv.org/abs/2610.07478
AB - Ayurvedic formulations represent a rich source of traditional knowledge, encompassing distinct therapeutic approaches, medicinal ingredients, and underlying principles of drug action. However, systematic integration of this knowledge with standardized modern biomedical terminology and resources remains limited. Here, we present IMPPAT 3.0, an updated version of the Indian Medicinal Plants, Phytochemistry And Therapeutics (IMPPAT: https://cb.imsc.res.in/imppat/) database that extends its scope by incorporating curated and harmonized information on Ayurvedic formulations from authoritative sources, while expanding its coverage of medicinal plants, phytochemicals, and therapeutic use terms. IMPPAT 3.0 further enriches plant and phytochemical information with annotations on clinical trials, patents, bioactivity, protein targets, spectral data, plant image links, and AyuCaRe reports. The compiled data is also organized as IMPPAT-KG, a knowledge graph that enables exploration of relationships among IMPPAT entities. We demonstrate the utility of the resource through a network medicine analysis of single herbal drugs (SHDs) reported for rheumatoid arthritis (RA), revealing significant proximity of their protein targets to RA-associated genes, and pinpointing of phytochemical pairs with potentially complementary effects on RA pathogenesis. In conclusion, by integrating traditional medicinal knowledge, IMPPAT provides a FAIR-compliant ethnopharmacological platform for systematic investigation of Indian medicinal plants and Ayurvedic formulations for drug discovery applications.
ER -