Evidence map›Paper›PMID 41654607›Full record

ArticleScientific reports2026

CDMMM: a comprehensive platform of traditional Indian medicinal plant DNA barcodes and metabolite fingerprints database.

Chigateri M Vinay, Akshay Pramod Ware, Kannath U Sanjay, Debyani Samantray, Reju R Krishnan, Keyur Raval, Mahendran Sekar, Yarappa Lakshmikanth Ramachandra, Bobby Paul, Padmalatha S Rai

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chigateri M VinayDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Akshay Pramod WareDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Kannath U SanjayDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Debyani SamantrayDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Reju R KrishnanDepartment of Dravyaguna, J.S. Ayurveda Mahavidyalaya, Nadiad, Gujarat, India.
Keyur RavalDepartment of Chemical Engineering, National Institute of Technology, Surathkal, Karnataka, India.
Mahendran SekarSchool of Pharmacy, Monash University, Malaysia, Bandar Sunway, Subang Jaya, Selangor, Malaysia.
Yarappa Lakshmikanth RamachandraDepartment of Biotechnology and Bioinformatics, Kuvempu University, Jnana Sahyadri, Shankaraghatta, Shivamogga, Karnataka, India.
Bobby PaulDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India.
Padmalatha S RaiDepartment of Biotechnology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, India. padmalatha.rai@manipal.edu.ORCID http://orcid.org/0000-0001-7159-0560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal medicines, derived from medicinal plants, are in high demand due to global population growth and the increasing prevalence of chronic diseases; however, the use of substitutes or adulterants can compromise the quality of these medicines. DNA barcoding and metabolite fingerprinting are used to identify plants and ensure the safety of drugs. The effectiveness of authentication methods depends on the availability and coverage of the reference library. However, reference DNA barcodes and metabolite fingerprint libraries for traditional Indian medicinal plants are lacking, which hinders the authentication of herbal drugs and the elucidation of the therapeutic effects of secondary metabolites. In the present study, we developed a user-friendly 'Comprehensive Database of Medicinal Plants, Molecular Markers, and Metabolite Fingerprinting (CDMMM)' that provides extensive details on traditional Indian medicinal plants used in drug formulations, DNA barcode sequences, metabolites, and their therapeutic targets associated with diseases. CDMMM is an expandable data resource comprising 89 experimentally obtained DNA barcode accessions from 67 plant species, 3033 annotated plant metabolites, and 1414 therapeutic targets associated with 441 diseases from 20 plant species. The ever-expanding CDMMM resource is available at https://slsdb.manipal.edu/cdmmm/ . Overall, it is a powerful platform for taxonomy, systematics, species identification, and drug discovery, promoting knowledge and addressing taxonomic uncertainties.

Indexed as

DNA Barcoding, TaxonomicPlants, MedicinalIndiaDatabaseDNA barcodesMetabolite fingerprintsTherapeutic targetsTraditional Indian medicinal plants

Identifiers

PMID41654607
PMCPMC12946267

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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 Socratic graph.