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http://dx.doi.org/10.5808/GI.2015.13.2.53

In Silico Structural and Functional Annotation of Hypothetical Proteins of Vibrio cholerae O139  

Islam, Md. Saiful (Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong)
Shahik, Shah Md. (Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong)
Sohel, Md. (Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong)
Patwary, Noman I.A. (Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong)
Hasan, Md. Anayet (Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong)
Publication Information
Genomics & Informatics / v.13, no.2, 2015 , pp. 53-59 More about this Journal
Abstract
In developing countries threat of cholera is a significant health concern whenever water purification and sewage disposal systems are inadequate. Vibrio cholerae is one of the responsible bacteria involved in cholera disease. The complete genome sequence of V. cholerae deciphers the presence of various genes and hypothetical proteins whose function are not yet understood. Hence analyzing and annotating the structure and function of hypothetical proteins is important for understanding the V. cholerae. V. cholerae O139 is the most common and pathogenic bacterial strain among various V. cholerae strains. In this study sequence of six hypothetical proteins of V. cholerae O139 has been annotated from NCBI. Various computational tools and databases have been used to determine domain family, protein-protein interaction, solubility of protein, ligand binding sites etc. The three dimensional structure of two proteins were modeled and their ligand binding sites were identified. We have found domains and families of only one protein. The analysis revealed that these proteins might have antibiotic resistance activity, DNA breaking-rejoining activity, integrase enzyme activity, restriction endonuclease, etc. Structural prediction of these proteins and detection of binding sites from this study would indicate a potential target aiding docking studies for therapeutic designing against cholera.
Keywords
cholera; computational tools; docking; drug discovery; Vibrio cholerae O139;
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