Literature DB >> 28451971

MPFit: Computational Tool for Predicting Moonlighting Proteins.

Ishita Khan1, Joshua McGraw2, Daisuke Kihara3,4.   

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

Mesh:

Substances:

Year:  2017        PMID: 28451971     DOI: 10.1007/978-1-4939-7015-5_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Identification of Moonlighting Proteins in Genomes Using Text Mining Techniques.

Authors:  Aashish Jain; Hareesh Gali; Daisuke Kihara
Journal:  Proteomics       Date:  2018-10-10       Impact factor: 3.984

2.  IdentPMP: identification of moonlighting proteins in plants using sequence-based learning models.

Authors:  Xinyi Liu; Yueyue Shen; Youhua Zhang; Fei Liu; Zhiyu Ma; Zhenyu Yue; Yi Yue
Journal:  PeerJ       Date:  2021-08-06       Impact factor: 2.984

  2 in total

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