metabolomics-workbench-database

You can query the NIH Metabolomics Workbench by using this skill to access metabolites, studies, and biological data via the REST API using Python requests. It retrieves structures, study metadata, and gene or protein information directly from the database.

To standardize metabolite names for mass spectrometry research, you can use the RefMet nomenclature system provided by the NIH Metabolomics Workbench. This skill facilitates RefMet standardization to unify metabolite names and classifications across different studies.

Yes, you can search for compounds in the Metabolomics Workbench database using m/z values. This skill supports mass spectrometry searches by querying compounds based on specified m/z values, adducts, and tolerances via the REST API.

You can find public studies related to a specific metabolite like glucose by querying the NIH Metabolomics Workbench. This skill retrieves study metadata and experimental results for over 4,200 studies containing the specified metabolite.

The metabolomics database provides access to associated gene and protein information linked to specific metabolites and studies. You can retrieve this biological data alongside metabolite structures and cross-references through the REST API.

Yes, the Metabolomics Workbench REST API supports searching study metadata by experimental conditions. You can filter studies based on specific parameters like LCMS and positive polarity, then identify the specific metabolites measured in those filtered results.