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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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Detalhes bibliográficos
Publicado no:Genomics Proteomics Bioinformatics
Main Authors: Saha, Sudipto, Raghava, G.P.S.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2006
Assuntos:
Acesso em linha: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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