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Indian Medicinal Plants, Phytochemistry And Therapeutics 3.0 (IMPPAT 3.0) is a manually curated database which has been constructed via digitalization of information from more than 100 books on traditional Indian medicine, 7000+ published research articles and other existing resources. IMPPAT 3.0 is the largest FAIR compliant digital database on phytochemicals of Indian medicinal plants to date, and has been updated with data on traditional medicinal formulations.

IMPPAT 3.0 captures the following types of associations:
(a) Indian medicinal plant - Plant part - Phytochemical
(b) Indian medicinal plant - Plant part - Therapeutic use
(c) Traditional medicinal formulation - Ingredient information - Therapeutic use

The current version 3.0, released on September 30, 2026, of the IMPPAT database captures 4154 Indian medicinal plants, 18314 phytochemicals, 1544 therapeutic uses and 1576 formulations. An important update in this version is the addition of traditional medicinal formulation information from The Ayurvedic Pharmacopoeia of India and The Ayurvedic Formulary of India. In addition, we have improved the annotation of plants and phytochemicals with information such as clinical trials, patents, links to plant images, human targets supported by experimental evidence, bioactivity, spectral data, and link to AyuCaRe reports. Most importantly, to enable the identification of new relationships, we have transformed the entire dataset into a knowledge graph called IMPPAT-KG. Note that version 1.0 of IMPPAT was released on January 25, 2018, and version 2.0 was released on June 17, 2022.

Importantly, for the 18314 phytochemicals in this database, we provide their two-dimensional (2D) and three-dimensional (3D) chemical structures and have employed cheminformatics tools to compute their physicochemical properties, drug-likeness based on multiple scoring schemes, and predicted absorption, distribution, metabolism, excretion and toxicity (ADMET) properties. Apart from viewing phytochemicals based on their physicochemical properties, drug-likeness properties, and chemical similarity, the website also allows users to explore phytochemicals based on their molecular scaffolds.

In a nutshell, IMPPAT is the largest FAIR compliant database on phytochemicals from Indian medicinal plants to date, representing the culmination of our ongoing efforts to digitize the wealth of information contained within traditional Indian medicine. IMPPAT provides an integrated platform for applying cheminformatic approaches to accelerate natural product-based drug discovery. With the inclusion of formulation data and their therapeutic uses, we expect this resource to enable ongoing efforts to view traditional systems of medicine (in particular, Ayurveda) through the lens of modern science. The resource will also enable application of systems-level approaches to elucidate the mechanistic links between phytochemicals of Indian medicinal plants and their therapeutic action.

We welcome suggestions from stakeholders across academia, industry, and wider community for future improvements of our database.
BROWSE
PLANT - PHYTOCHEMICAL ASSOCIATIONS

OR

OR

THERAPEUTIC USE

TRADITIONAL MEDICINAL FORMULATION


CITATION
If you use our resource, please cite the following three research articles:
  1. IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeutics, Karthikeyan Mohanraj#, Bagavathy Shanmugam Karthikeyan#, R.P. Vivek-Ananth#, R.P. Bharath Chand, S.R. Aparna, P. Mangalapandi and Areejit Samal*, Scientific Reports 8:4329 (2018).
  2. IMPPAT 2.0: An Enhanced and Expanded Phytochemical Atlas of Indian Medicinal Plants, R. P. Vivek-Ananth, Karthikeyan Mohanraj, Ajaya Kumar Sahoo and Areejit Samal*, ACS Omega 8:8827-8845 (2023).
  3. IMPPAT 3.0: An updated FAIR database of phytochemicals and formulations of Indian Medicinal plants, Shanmuga Priya Baskaran#, Ajaya Kumar Sahoo#, Priyotosh Sil, Rahul Tiwari, Nikhil Chivukula, Sabrina Elsa Eapen, Geetha Ranganathan, Preeti Semwal and Areejit Samal*, submitted (2026).

#Equal contribution *Corresponding author

CONTACT
In case you face problems with this database, please contact Areejit Samal .

FUNDING
Research in the group of Areejit Samal at The Institute of Mathematical Sciences (IMSc), Chennai is financially supported by intramural funds from the Department of Atomic Energy (DAE), Government of India, and extramural funds in the past or present from the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India through the award of a start-up grant (YSS/2015/000060) and Ramanujan fellowship (SB/S2/RJN-006/2014) and the Max Planck Society, Germany through the award of a Max Planck Partner Group. The funders have no role in database design, data collection, data analysis or decision to publish this work .