| URL: | https://bidd.group/CMAUP/index.html |
| Full name: | Collective Molecular Activities of Useful Plants |
| Description: | The CMAUP ver-2.0 provides collective molecular activities of 7,865 useful plants, including 2,954 medicinal plants used in 79 countries/regions, on 758 human target proteins and 3,013 Gene Ontology, 238 KEGG pathways, and their relations to 1,399 human diseases. This major update includes multi-scales of collective molecular activities of useful plants. |
| Year founded: | 2019 |
| Last update: | 2024-01-05 |
| Version: | v2.0 |
| Accessibility: |
Accessible
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| Country/Region: | China |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | Fudan University |
| Address: | Tahir Foundation Building, Level 5, 12 Science Drive 2, Singapore 117549 |
| City: | |
| Province/State: | |
| Country/Region: | China |
| Contact name (PI/Team): | Xian Zeng |
| Contact email (PI/Helpdesk): | zengxian@fudan.edu.cn |
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CMAUP database update 2024: extended functional and association information of useful plants for biomedical research. [PMID: 37897343]
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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CMAUP: a database of collective molecular activities of useful plants. [PMID: 30357356]
The beneficial effects of functionally useful plants (e.g. medicinal and food plants) arise from the multi-target activities of multiple ingredients of these plants. The knowledge of the collective molecular activities of these plants facilitates mechanistic studies and expanded applications. A number of databases provide information about the effects and targets of various plants and ingredients. More comprehensive information is needed for broader classes of plants and for the landscapes of individual plant's multiple targets, collective activities and regulated biological pathways, processes and diseases. We therefore developed a new database, Collective Molecular Activities of Useful Plants (CMAUP), to provide the collective landscapes of multiple targets (ChEMBL target classes) and activity levels (in 2D target-ingredient heatmap), and regulated gene ontologies (GO categories), biological pathways (KEGG categories) and diseases (ICD blocks) for 5645 plants (2567 medicinal, 170 food, 1567 edible, 3 agricultural and 119 garden plants) collected from or traditionally used in 153 countries and regions. These landscapes were derived from 47 645 plant ingredients active against 646 targets in 234 KEGG pathways associated with 2473 gene ontologies and 656 diseases. CMAUP (http://bidd2.nus.edu.sg/CMAUP/) is freely accessible and searchable by keywords, plant usage classes, species families, targets, KEGG pathways, gene ontologies, diseases (ICD code) and geographical locations. |