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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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2014-01-01
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| Colección: | The Scientific World Journal |
| Acceso en línea: | http://dx.doi.org/10.1155/2014/464093 |
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