Literature DB >> 12724303

Do current sequence analysis algorithms disclose multifunctional (moonlighting) proteins?

Antonio Gómez1, Nuria Domedel, Juan Cedano, Jaume Piñol, Enrique Querol.   

Abstract

SUMMARY: A number of multifunctional, 'moonlighting', proteins have been analyzed by different current programs to test whether they identify both functions. PSI-BLAST and PRODOM perform best in predicting the alternative function.

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Year:  2003        PMID： 12724303     DOI： 10.1093/bioinformatics/btg111

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  19 in total

Review 1.  Computational characterization of moonlighting proteins.

Authors:  Ishita K Khan; Daisuke Kihara
Journal:  Biochem Soc Trans       Date:  2014-12       Impact factor: 5.407

Review 2.  Single-gene disorders: what role could moonlighting enzymes play?

Authors:  Ganesh Sriram; Julian A Martinez; Edward R B McCabe; James C Liao; Katrina M Dipple
Journal:  Am J Hum Genet       Date:  2005-04-22       Impact factor: 11.025

Review 3.  Protein promiscuity and its implications for biotechnology.

Authors:  Irene Nobeli; Angelo D Favia; Janet M Thornton
Journal:  Nat Biotechnol       Date:  2009-02       Impact factor: 54.908

Review 4.  Bioinformatics annotation of the hypothetical proteins found by omics techniques can help to disclose additional virulence factors.

Authors:  Sergio Hernández; Antonio Gómez; Juan Cedano; Enrique Querol
Journal:  Curr Microbiol       Date:  2009-07-28       Impact factor: 2.188

5.  Crystal structure of albaflavenone monooxygenase containing a moonlighting terpene synthase active site.

Authors:  Bin Zhao; Li Lei; Dmitry G Vassylyev; Xin Lin; David E Cane; Steven L Kelly; Hang Yuan; David C Lamb; Michael R Waterman
Journal:  J Biol Chem       Date:  2009-10-26       Impact factor: 5.157

Review 6.  Multifunctional enzymes in archaea: promiscuity and moonlight.

Authors:  Baolei Jia; Gang-Won Cheong; Shihong Zhang
Journal:  Extremophiles       Date:  2013-01-03       Impact factor: 2.395

7.  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

8.  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 9.  Moonlighting proteins in yeasts.

Authors:  Carlos Gancedo; Carmen-Lisset Flores
Journal:  Microbiol Mol Biol Rev       Date:  2008-03       Impact factor: 11.056

10.  Pathogen Moonlighting Proteins: From Ancestral Key Metabolic Enzymes to Virulence Factors.

Authors:  Luis Franco-Serrano; David Sánchez-Redondo; Araceli Nájar-García; Sergio Hernández; Isaac Amela; Josep Antoni Perez-Pons; Jaume Piñol; Angel Mozo-Villarias; Juan Cedano; Enrique Querol
Journal:  Microorganisms       Date:  2021-06-15
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