Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

BioM2MetDisease

General information

URL: http://bio-bigdata.hrbmu.edu.cn/BioM2MetDisease/
Full name: BioM2MetDisease
Description: BioM2MetDisease is a manually curated database that aims to provide a comprehensive and experimentally supported resource of associations between metabolic diseases and various biomolecules. BioM2MetDisease provides a user-friendly interface that enable users to browse, search and retrieve all entries in database
Year founded: 2017
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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Major species:
Keywords:

Contact information

University/Institution: Harbin Medical University
Address: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China
City: Harbin
Province/State: Heilongjiang
Country/Region: China
Contact name (PI/Team): Xia Li
Contact email (PI/Helpdesk): lixia@hrbmu.edu.cn

Publications

28605773
BioM2MetDisease: a manually curated database for associations between microRNAs, metabolites, small molecules and metabolic diseases. [PMID: 28605773]
Xu Y, Yang H, Wu T, Dong Q, Sun Z, Shang D, Li F, Xu Y, Su F, Liu S, Zhang Y, Li X.

BioM2MetDisease is a manually curated database that aims to provide a comprehensive and experimentally supported resource of associations between metabolic diseases and various biomolecules. Recently, metabolic diseases such as diabetes have become one of the leading threats to people’s health. Metabolic disease associated with alterations of multiple types of biomolecules such as miRNAs and metabolites. An integrated and high-quality data source that collection of metabolic disease associated biomolecules is essential for exploring the underlying molecular mechanisms and discovering novel therapeutics. Here, we developed the BioM2MetDisease database, which currently documents 2681 entries of relationships between 1147 biomolecules (miRNAs, metabolites and small molecules/drugs) and 78 metabolic diseases across 14 species. Each entry includes biomolecule category, species, biomolecule name, disease name, dysregulation pattern, experimental technique, a brief description of metabolic disease-biomolecule relationships, the reference, additional annotation information etc. BioM2MetDisease provides a user-friendly interface to explore and retrieve all data conveniently. A submission page was also offered for researchers to submit new associations between biomolecules and metabolic diseases. BioM2MetDisease provides a comprehensive resource for studying biology molecules act in metabolic diseases, and it is helpful for understanding the molecular mechanisms and developing novel therapeutics for metabolic diseases.
Database URL: http://www.bio-bigdata.com/BioM2MetDisease/.

Database (Oxford). 2017:2017() | 4 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6082/6895 (11.806%)
Health and medicine:
1544/1738 (11.22%)
6082
Total Rank
4
Citations
0.5
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
Aniza Aziz [2018-04-10]