Protein Binding Site Prediction by Combining Hidden Markov Support Vector Machine and Profile-Based Propensities

Identification of protein binding sites is critical for studying the function of the proteins. In this paper, we proposed a method for protein binding site prediction, which combined the order profile propensities and hidden Markov support vector machine (HM-SVM). This method employed the sequential...

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Detalles Bibliográficos
Autores principales: Liu, Bin, Liu, Bingquan, Liu, Fule, Wang, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4122092/
https://www.ncbi.nlm.nih.gov/pubmed/25133234
http://dx.doi.org/10.1155/2014/464093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4122092/
https://www.ncbi.nlm.nih.gov/pubmed/25133234
http://dx.doi.org/10.1155/2014/464093

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