MPFit: Computational Tool for Predicting Moonlighting Proteins

Protocol
First Online:
Part of the Methods in Molecular Biology book series (MIMB, volume 1611)

Abstract

An increasing number of proteins have been found which are capable of performing two or more distinct functions. These proteins, known as moonlighting proteins, have drawn much attention recently as they may play critical roles in disease pathways and development. However, because moonlighting proteins are often found serendipitously, our understanding of moonlighting proteins is still quite limited. In order to lay the foundation for systematic moonlighting proteins studies, we developed MPFit, a software package for predicting moonlighting proteins from their omics features including protein–protein and gene interaction networks. Here, we describe and demonstrate the algorithm of MPFit, the idea behind it, and provide instruction for using the software.

Keywords

Moonlighting proteins Protein function prediction Dual function Function annotation Protein association Feature imputation Omics-data Genome 
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Notes

Acknowledgments

This work was partly supported by the National Institute of General Medical Sciences of the National Institutes of Health (R01GM097528) and the National Science Foundation (IIS1319551, DBI1262189, IOS1127027, DMS1614777).

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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.Department of Computer SciencePurdue UniversityWest LafayetteUSA
  2. 2.Department of Biological SciencesPurdue UniversityWest LafayetteUSA

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