ArticleNucleic acids research2024
CMAUP database update 2024: extended functional and association information of useful plants for biomedical research.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Revolutionizing drug discovery from natural products: The roles of artificial intelligence and multi-omics in accelerating innovation.Acta pharmaceutica Sinica. B · 2026Article
- sCentInDB: a database of essential oil chemical profiles of Indian medicinal plants.Molecular diversity · 2026Article
- Quantifying compatibility mechanisms in traditional Chinese medicine with interpretable graph neural networks.Journal of pharmaceutical analysis · 2025Article
- Computer-Aided Drug Design in Research on Chinese Materia Medica: Methods, Applications, Advantages, and Challenges.Pharmaceutics · 2025Review
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- Implementation of an Automated System using Machine Learning Models to Accelerate the Process ofCurrent medicinal chemistry · 2025Article
- GRAYU: graph-based database integrating Ayurvedic formulations, medicinal plants, phytochemicals and diseases.Frontiers in pharmacology · 2025Article
- Phylogenetic and spatial patterns of herbal medicine compounds: Which medicinal plants are phytochemically characterized?Chinese herbal medicines · 2024Article
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
Knowledge of the collective activities of individual plants together with the derived clinical effects and targeted disease associations is useful for plant-based biomedical research. To provide the information in complement to the established databases, we introduced a major update of CMAUP database, previously featured in NAR. This update includes (i) human transcriptomic changes overlapping with 1152 targets of 5765 individual plants, covering 74 diseases from 20 027 patient samples; (ii) clinical information for 185 individual plants in 691 clinical trials; (iii) drug development information for 4694 drug-producing plants with metabolites developed into approved or clinical trial drugs; (iv) plant and human disease associations (428 737 associations by target, 220 935 reversion of transcriptomic changes, 764 and 154121 associations by clinical trials of individual plants and plant ingredients); (v) the location of individual plants in the phylogenetic tree for navigating taxonomic neighbors, (vi) DNA barcodes of 3949 plants, (vii) predicted human oral bioavailability of plant ingredients by the established SwissADME and HobPre algorithm, (viii) 21-107% increase of CMAUP data over the previous version to cover 60 222 chemical ingredients, 7865 plants, 758 targets, 1399 diseases, 238 KEGG human pathways, 3013 gene ontologies and 1203 disease ontologies. CMAUP update version is freely accessible at https://bidd.group/CMAUP/index.html.
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