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

Antonio Gómez; Nuria Domedel; Juan Cedano; Jaume Piñol; Enrique Querol

doi:https://doi.org/10.1093/bioinformatics/btg111

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

Antonio Gómez, Nuria Domedel, Juan Cedano, Jaume Piñol, Enrique Querol

Research output: Contribution to journal › Article › Research › peer-review

37 Citations (Scopus)

Abstract

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

Original language	English
Pages (from-to)	895-896
Journal	Bioinformatics
Volume	19
DOIs	https://doi.org/10.1093/bioinformatics/btg111
Publication status	Published - 1 May 2003

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https://doi.org/10.1093/bioinformatics/btg111

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@article{f8aebcef5908442eaf00c5f76ef7632d,

title = "Do current sequence analysis algorithms disclose multifunctional (moonlighting) proteins?",

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

author = "Antonio G{\'o}mez and Nuria Domedel and Juan Cedano and Jaume Pi{\~n}ol and Enrique Querol",

year = "2003",

month = may,

day = "1",

doi = "https://doi.org/10.1093/bioinformatics/btg111",

language = "English",

volume = "19",

pages = "895--896",