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MPFit: Computational Tool for Predicting Moonlighting Proteins.

Ishita Khan1, Joshua McGraw2, Daisuke Kihara3,4

  • 1Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA.

Methods in Molecular Biology (Clifton, N.J.)
|April 29, 2017
PubMed
Summary
This summary is machine-generated.

Moonlighting proteins perform multiple functions and are crucial in disease and development. We developed MPFit, a new software tool, to systematically predict these important proteins using omics data.

Keywords:
Dual functionFeature imputationFunction annotationGenomeMoonlighting proteinsOmics-dataProtein associationProtein function prediction

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Area of Science:

  • Proteomics
  • Systems Biology
  • Bioinformatics

Background:

  • An increasing number of proteins are recognized to perform multiple distinct functions, termed moonlighting proteins.
  • Moonlighting proteins are implicated in critical biological processes, including disease pathways and development.
  • Current understanding of moonlighting proteins is limited due to their often-serendipitous discovery.

Purpose of the Study:

  • To develop a foundational software package for the systematic study of moonlighting proteins.
  • To create a computational tool for predicting moonlighting proteins from omics data.

Main Methods:

  • Developed MPFit, a software package for moonlighting protein prediction.
  • Utilized omics features, including protein-protein and gene interaction networks, as input for the prediction algorithm.
  • Demonstrated the algorithm and provided user instructions for the MPFit software.

Main Results:

  • Successfully developed and demonstrated MPFit, a novel software package for moonlighting protein prediction.
  • The software integrates omics data, specifically interaction networks, for enhanced prediction capabilities.
  • The study provides a methodological framework for systematic moonlighting protein identification.

Conclusions:

  • MPFit offers a systematic approach to identify moonlighting proteins, advancing their study.
  • This tool facilitates research into the roles of moonlighting proteins in biological pathways and disease.
  • The development of MPFit lays the groundwork for future investigations into the functional diversity of proteins.