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Related Experiment Video

Updated: Apr 17, 2026

gP2S, an Information Management System for CryoEM Experiments

gP2S, an Information Management System for CryoEM Experiments

Published on: June 10, 2021

The GPMDB REST interface.

David Fenyö¹, Ronald C Beavis¹

¹Department of Biochemistry and Molecular Pharmacology, New York University Langone Medical Center, New York, NY, USA and Department of Biochemistry and Medical Genetics, The University of Manitoba, Winnipeg, MB, Canada.

Bioinformatics (Oxford, England)

|February 21, 2015

Summary

This summary is machine-generated.

The Global Proteome Machine and Database (GPMDB) REST service simplifies proteomics data access. Version 1 offers 25 methods for retrieving detailed protein information, including modifications and variants.

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Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

The Global Proteome Machine and Database (GPMDB) is a valuable resource for proteomics data.
Accessing and analyzing complex proteomics information can be challenging.
A standardized interface is needed to facilitate data retrieval and utilization.

Purpose of the Study:

To develop a simplified access method for GPMDB data.
To provide a stable set of methods and parameters for querying proteomics information.
To enhance the usability of the GPMDB resource for researchers.

Main Methods:

Implementation of a Representational State Transfer (REST) service for GPMDB.
Development of version 1 of the interface with 25 distinct retrieval methods.
Utilizing stable methods and parameters for consistent data access.

Main Results:

The GPMDB REST service (version 1) provides access to 25 methods.
The service allows retrieval of experimental data on protein post-translational modifications.
Information on amino acid variants, alternate splicing, and protein cleavage patterns is accessible.

Conclusions:

The GPMDB REST service offers simplified and stable access to critical proteomics data.
This interface facilitates research by providing efficient retrieval of diverse protein information.
The freely available data and software promote wider adoption and scientific advancement.