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ArticleFrontiers in pharmacology2025

GRAYU: graph-based database integrating Ayurvedic formulations, medicinal plants, phytochemicals and diseases.

Sarthak Joshi, Aditi Pathak, Dheemanth Reddy Regati, Revathy Menon, Deepthi S Ajith, Aditya Sheshadri, Neerja Viswanathan, Poulomi Ray, Vimarishi Koul, Pratishruti Panda and 6 more

Abstract read
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Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Sarthak Joshi *National Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Aditi Pathak *National Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Dheemanth Reddy Regati *National Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Revathy MenonNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Deepthi S AjithNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Aditya SheshadriNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Neerja ViswanathanNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Poulomi RayNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Vimarishi KoulNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Pratishruti PandaNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Shriya Anand BhamboreNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Shailya VermaNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Ananya SinhaNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
K Mohamed ShafiNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Murugavel PavalamNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.
Ramanathan SowdhaminiNational Centre for Biological Sciences (TIFR), Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The translation of India's extensive traditional knowledge on indigenous medicinal plants into modern therapeutic solutions is contingent upon a systematic framework. While traditional Indian medicine offers a rich source of therapeutic leads, this knowledge is often not structured for modern computational analysis, creating a barrier to systematic drug discovery. Methods: To this end, we present GRAYU, a curated and comprehensive online database that integrates data across multiple categories, connecting 1,039 traditional formulations to 12,743 indigenous plants, 129,542 phytochemicals, and 13,480 indicated diseases. Results: GRAYU provides insights into 1,370,257 plant-phytochemical, 116,531 plant-disease, 2,389 plant-formulation, and 4,087 formulation-disease associations. We show potential applications on phytochemical analogs, sustainable plant substitution, and disease-network analysis, highlighting the potential of integrative graphs to decode shared molecular signatures and therapeutic networks across traditional Ayurvedic formulations. Discussion: 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/.

Indexed as

data integrationdrug repurposingendangered plantsknowledge graphnetwork pharmacologytraditional foods

Identifiers

PMID41657773
PMCPMC12872832

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.