iPTMnet RESTful API for Post-translational Modification Network Analysis

Sachin Gavali; Karen E Ross; Julie Cowart; Chuming Chen; Cathy H Wu

doi:10.1007/978-1-0716-2317-6_10

iPTMnet RESTful API for Post-translational Modification Network Analysis

Methods Mol Biol. 2022:2499:187-204. doi: 10.1007/978-1-0716-2317-6_10.

Authors

Sachin Gavali¹, Karen E Ross², Julie Cowart³, Chuming Chen³, Cathy H Wu³

Affiliations

¹ Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA. saching@udel.edu.
² Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, USA.
³ Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA.

Abstract

iPTMnet is a resource that combines rich information about protein post-translational modifications (PTM) from curated databases as well as text mining tools. Researchers can use the iPTMnet website to query, analyze and download the PTM data. In this chapter we describe the iPTMnet RESTful API which provides a way to streamline the integration of iPTMnet data into an automated data analysis workflow. In the first section, we give an overview of the architecture of the API. In the second section, we describe various function defined by the API and provide detailed examples of using these functions.

Keywords: Database; Phosphorylation; Post-translational modification; Protein-protein interaction; RESTful API.

Publication types

Review

MeSH terms

Data Mining*
Databases, Protein
Protein Processing, Post-Translational*
Proteins / metabolism
Workflow

Substances

Proteins