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Protein Networks02:26

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Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
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Updated: Sep 8, 2025

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iPTMnet RESTful API for Post-translational Modification Network Analysis.

Sachin Gavali1, Karen E Ross2, Julie Cowart3

  • 1Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA. saching@udel.edu.

Methods in Molecular Biology (Clifton, N.J.)
|June 13, 2022
PubMed
Summary
This summary is machine-generated.

iPTMnet offers a comprehensive resource for protein post-translational modifications (PTM). This chapter details the iPTMnet RESTful API, enabling automated data analysis workflows for PTM research.

Keywords:
DatabasePhosphorylationPost-translational modificationProtein-protein interactionRESTful API

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Molecular Biology

Background:

  • Protein post-translational modifications (PTMs) are crucial for cellular functions.
  • Existing resources for PTM data can be fragmented and difficult to integrate.
  • Automated data analysis is essential for handling large-scale biological datasets.

Purpose of the Study:

  • To describe the iPTMnet RESTful API for streamlined integration of PTM data.
  • To provide researchers with tools for automated data analysis workflows.
  • To facilitate efficient querying, analysis, and downloading of PTM information.

Main Methods:

  • Development of a RESTful API for the iPTMnet resource.
  • Description of the API architecture.
  • Detailed explanation of API functions with usage examples.

Main Results:

  • The iPTMnet API provides programmatic access to a rich PTM dataset.
  • The API architecture is designed for efficient data retrieval and integration.
  • Examples demonstrate practical applications of the API for automated analysis.

Conclusions:

  • The iPTMnet RESTful API enhances the utility of the iPTMnet resource.
  • It enables seamless integration of PTM data into automated bioinformatics pipelines.
  • Researchers can leverage the API to accelerate PTM-related discoveries.