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VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition
In this study, an attempt has been made to predict the major functions of gram-negative bacterial proteins from their amino acid sequences. The dataset used for training and testing consists of 670 non-redundant gram-negative bacterial proteins (255 of cellular process, 60 of information molecules,...
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| Publicado en: | Genomics Proteomics Bioinformatics |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2006
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054027/ https://ncbi.nlm.nih.gov/pubmed/16689701 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(06)60015-6 |
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