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Shape string: a new feature for prediction of DNA-binding residues.
Wang, Duo-Duo; Li, Tong-Hua; Sun, Jiang-Ming; Li, Da-Peng; Xiong, Wen-Wei; Wang, Wen-Yan; Tang, Sheng-Nan.
Afiliación
  • Wang DD; Department of Chemistry, Tongji University, Shanghai 200092, PR China.
Biochimie ; 95(2): 354-8, 2013 Feb.
Article en En | MEDLINE | ID: mdl-23116714
Protein-DNA interactions are involved in many biological processes essential for gene expression and regulation. To understand the molecular mechanisms of protein-DNA recognition, it is crucial to analyze and identify DNA-binding residues of protein-DNA complexes. Here, we proposed a novel descriptor shape string and another two related features shape string PSSM and shape string pair composition to characterize DNA-binding residues. We employed the new features and the position-specific scoring matrix (PSSM) for modeling and prediction. The results of a benchmark dataset showed that our approach significantly improved the accuracy of the predictor. The overall accuracy of our approach reached 85.86% with 85.02% sensitivity and 86.02% specificity. The results also demonstrated that shape string is a powerful descriptor for the prediction of DNA-binding residues. The additional two related features enhanced the predictive value.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / ADN / Proteínas / Posición Específica de Matrices de Puntuación Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biochimie Año: 2013 Tipo del documento: Article Pais de publicación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / ADN / Proteínas / Posición Específica de Matrices de Puntuación Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biochimie Año: 2013 Tipo del documento: Article Pais de publicación: Francia