Literature DB >> 25399606

Computational characterization of moonlighting proteins.

Ishita K Khan1, Daisuke Kihara.   

Abstract

Moonlighting proteins perform multiple independent cellular functions within one polypeptide chain. Moonlighting proteins switch functions depending on various factors including the cell-type in which they are expressed, cellular location, oligomerization status and the binding of different ligands at different sites. Although an increasing number of moonlighting proteins have been experimentally identified in recent years, the quantity of known moonlighting proteins is insufficient to elucidate their overall landscape. Moreover, most moonlighting proteins have been identified as a serendipitous discovery. Hence, characterization of moonlighting proteins using bioinformatics approaches can have a significant impact on the overall understanding of protein function. In this work, we provide a short review of existing computational approaches for illuminating the functional diversity of moonlighting proteins.

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Year:  2014        PMID: 25399606      PMCID: PMC5003571          DOI: 10.1042/BST20140214

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  42 in total

1.  Intrinsic disorder and protein function.

Authors:  A Keith Dunker; Celeste J Brown; J David Lawson; Lilia M Iakoucheva; Zoran Obradović
Journal:  Biochemistry       Date:  2002-05-28       Impact factor: 3.162

2.  Real-time ligand binding pocket database search using local surface descriptors.

Authors:  Rayan Chikhi; Lee Sael; Daisuke Kihara
Journal:  Proteins       Date:  2010-07

Review 3.  Structural disorder throws new light on moonlighting.

Authors:  Peter Tompa; Csilla Szász; László Buday
Journal:  Trends Biochem Sci       Date:  2005-09       Impact factor: 13.807

4.  Characterization of local geometry of protein surfaces with the visibility criterion.

Authors:  Bin Li; Srinivasan Turuvekere; Manish Agrawal; David La; Karthik Ramani; Daisuke Kihara
Journal:  Proteins       Date:  2008-05-01

Review 5.  Moonlighting proteins--an update.

Authors:  Constance J Jeffery
Journal:  Mol Biosyst       Date:  2009-02-03

Review 6.  Multifunctional lens crystallins and corneal enzymes. More than meets the eye.

Authors:  J Piatigorsky
Journal:  Ann N Y Acad Sci       Date:  1998-04-15       Impact factor: 5.691

7.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

8.  Predicting protein function from protein/protein interaction data: a probabilistic approach.

Authors:  Stanley Letovsky; Simon Kasif
Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

9.  Moonlighting function of glutamate racemase from Mycobacterium tuberculosis: racemization and DNA gyrase inhibition are two independent activities of the enzyme.

Authors:  Sugopa Sengupta; Soumitra Ghosh; Valakunja Nagaraja
Journal:  Microbiology (Reading)       Date:  2008-09       Impact factor: 2.777

10.  MoonProt: a database for proteins that are known to moonlight.

Authors:  Mathew Mani; Chang Chen; Vaishak Amblee; Haipeng Liu; Tanu Mathur; Grant Zwicke; Shadi Zabad; Bansi Patel; Jagravi Thakkar; Constance J Jeffery
Journal:  Nucleic Acids Res       Date:  2014-10-16       Impact factor: 16.971

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  16 in total

Review 1.  Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions.

Authors:  Fanchi Meng; Vladimir N Uversky; Lukasz Kurgan
Journal:  Cell Mol Life Sci       Date:  2017-06-06       Impact factor: 9.261

2.  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

3.  Genome-scale prediction of moonlighting proteins using diverse protein association information.

Authors:  Ishita K Khan; Daisuke Kihara
Journal:  Bioinformatics       Date:  2016-03-26       Impact factor: 6.937

Review 4.  Extreme environments: a source of biosurfactants for biotechnological applications.

Authors:  Júnia Schultz; Alexandre Soares Rosado
Journal:  Extremophiles       Date:  2019-12-11       Impact factor: 2.395

Review 5.  The Expanding Landscape of Moonlighting Proteins in Yeasts.

Authors:  Carlos Gancedo; Carmen-Lisset Flores; Juana M Gancedo
Journal:  Microbiol Mol Biol Rev       Date:  2016-07-27       Impact factor: 11.056

6.  Bioinformatics and Moonlighting Proteins.

Authors:  Sergio Hernández; Luís Franco; Alejandra Calvo; Gabriela Ferragut; Antoni Hermoso; Isaac Amela; Antonio Gómez; Enrique Querol; Juan Cedano
Journal:  Front Bioeng Biotechnol       Date:  2015-06-24

7.  Why study moonlighting proteins?

Authors:  Constance J Jeffery
Journal:  Front Genet       Date:  2015-06-19       Impact factor: 4.599

8.  PrOnto database : GO term functional dissimilarity inferred from biological data.

Authors:  Charles E Chapple; Carl Herrmann; Christine Brun
Journal:  Front Genet       Date:  2015-06-03       Impact factor: 4.599

9.  Characterizing the Syphilis-Causing Treponema pallidum ssp. pallidum Proteome Using Complementary Mass Spectrometry.

Authors:  Kara K Osbak; Simon Houston; Karen V Lithgow; Conor J Meehan; Michal Strouhal; David Šmajs; Caroline E Cameron; Xaveer Van Ostade; Chris R Kenyon; Geert A Van Raemdonck
Journal:  PLoS Negl Trop Dis       Date:  2016-09-08

10.  Genome-scale identification and characterization of moonlighting proteins.

Authors:  Ishita Khan; Yuqian Chen; Tiange Dong; Xioawei Hong; Rikiya Takeuchi; Hirotada Mori; Daisuke Kihara
Journal:  Biol Direct       Date:  2014-12-11       Impact factor: 4.540

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