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

Antonio Gómez¹, Nuria Domedel, Juan Cedano

¹Institut de Biotecnologia i Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona. 08193 Bellaterra, Spain. enric.querol@uab.es

Bioinformatics (Oxford, England)

|May 2, 2003

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This study evaluated protein analysis programs for identifying dual protein functions. PSI-BLAST and PRODOM demonstrated superior performance in predicting alternative protein functions.

Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Multifunctional proteins, also known as 'moonlighting' proteins, perform more than one biological role.
Identifying all functions of these proteins is crucial for understanding cellular mechanisms.

Purpose of the Study:

To assess the effectiveness of current computational programs in identifying the multiple functions of moonlighting proteins.
To determine which programs are most accurate in predicting the alternative functions of these proteins.

Main Methods:

Analysis of several multifunctional proteins using various established computational programs.
Comparative evaluation of program performance in predicting known and potential alternative protein functions.

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Main Results:

Different programs exhibited varying degrees of success in identifying both functions of moonlighting proteins.
PSI-BLAST and PRODOM were identified as the top-performing programs for predicting alternative protein functions.

Conclusions:

The selection of appropriate bioinformatics tools is critical for accurate moonlighting protein analysis.
PSI-BLAST and PRODOM offer the most reliable predictions for the alternative functions of multifunctional proteins.