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TIM-Finder: a new method for identifying TIM-barrel proteins.
Si, Jing-Na; Yan, Ren-Xiang; Wang, Chuan; Zhang, Ziding; Su, Xiao-Dong.
Afiliación
  • Si JN; State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China. sijingna@gmail.com
BMC Struct Biol ; 9: 73, 2009 Dec 14.
Article en En | MEDLINE | ID: mdl-20003393
ABSTRACT

BACKGROUND:

The triosephosphate isomerase (TIM)-barrel fold occurs frequently in the proteomes of different organisms, and the known TIM-barrel proteins have been found to play diverse functional roles. To accelerate the exploration of the sequence-structure protein landscape in the TIM-barrel fold, a computational tool that allows sensitive detection of TIM-barrel proteins is required.

RESULTS:

To develop a new TIM-barrel protein identification method in this work, we consider three descriptors a sequence-alignment-based descriptor using PSI-BLAST e-values and bit scores, a descriptor based on secondary structure element alignment (SSEA), and a descriptor based on the occurrence of PROSITE functional motifs. With the assistance of Support Vector Machine (SVM), the three descriptors were combined to obtain a new method with improved performance, which we call TIM-Finder. When tested on the whole proteome of Bacillus subtilis, TIM-Finder is able to detect 194 TIM-barrel proteins at a 99% confidence level, outperforming the PSI-BLAST search as well as one existing fold recognition method.

CONCLUSIONS:

TIM-Finder can serve as a competitive tool for proteome-wide TIM-barrel protein identification. The TIM-Finder web server is freely accessible at http//202.112.170.199/TIM-Finder/.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bacillus subtilis / Triosa-Fosfato Isomerasa / Pliegue de Proteína / Biología Computacional / Proteoma Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Struct Biol Asunto de la revista: BIOLOGIA Año: 2009 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Bacillus subtilis / Triosa-Fosfato Isomerasa / Pliegue de Proteína / Biología Computacional / Proteoma Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Struct Biol Asunto de la revista: BIOLOGIA Año: 2009 Tipo del documento: Article País de afiliación: China