GRAYU: graph-based database integrating Ayurvedic formulations, medicinal plants, phytochemicals and diseases
GRAYU represents a user-friendly resource for researchers to investigate complex bio-associations and formulate novel therapeutic hypotheses, with insights from traditional Indian medicine. GRAYU organises reported associations and computational relationships and can hint at mechanistic causality or biological activity; however, all outputs require contextual interpretation and further experimental validation. The database is available at https://caps.ncbs.res.in/GRAYU/.
Authors
- Shailya Verma (ORCID: https://orcid.org/0000-0002-6031-7275)
- Revathy Menon (ORCID: https://orcid.org/0009-0005-6195-8647)
- Poulomi Ray (ORCID: https://orcid.org/0000-0003-4311-422X)
- Neerja Viswanathan
- R Sowdhamini
- Sarthak Joshi
- Shriya Anand Bhambore
- Dheemanth Reddy Regati (ORCID: https://orcid.org/0009-0002-3393-5665)
- Aditi Pathak (ORCID: https://orcid.org/0009-0007-2821-7243)
- Deepthi S Ajith
- Aditya Seshadri
- Murugavel Pavalam
- K. Mohamed Shafi
- Vimarishi Koul
- Ananya Sinha
- Pratishruti Panda
Institutions
- National Centre for Biological Sciences (IN)
- Institute of Bioinformatics and Applied Biotechnology (IN)
- Indian Institute of Science Bangalore (IN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2026-01-22
- DOI
- https://doi.org/10.3389/fphar.2025.1727224
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tata Institute of Fundamental Research
- Science and Engineering Research Board
- National Centre for Biological Sciences