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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4122092/ https://ncbi.nlm.nih.gov/pubmed/25133234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/464093 |
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