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DC Field | Value | Language |
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dc.contributor.author | NEHA | - |
dc.date.accessioned | 2017-03-20T11:10:35Z | - |
dc.date.available | 2017-03-20T11:10:35Z | - |
dc.date.issued | 2013-07 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15701 | - |
dc.description.abstract | With the advent of technology an exponential growth in biological information has been observed. Bioinformatics has played a significant role in integrating, storing and analyzing the biological information. In the era of modern science when scientific research became highly interdisciplinary and collaborative, the researchers seek for Internet resources that would allow them to find and useful information in fast and efficient manner. And databases lie at the core of data management and offer scientists the opportunity to access information efficiently. Dengue Knowledge Base is a web resource cum database on Dengue Viral Disease that provides a comprehensive and unified access to information regarding various aspects of the Dengue virus and the disease in a user-friendly way. It is developed using SQL (database development technology) and Dot net framework (web resource development technology). Dengue infection is a burgeoning menace that ails tropical and sub-tropical countries and India is one of the top rankers in the list! The global prevalence of Dengue has grown dramatically over the last decades in tropical and sub-tropical regions around the world. Features: To make the access more user-friendly and comprehensive, the Search section provides the integrative links to navigate through the entire database driven website. The Advanced Query section allows to access the quick and relevant information on the protein’s attributes as molar extinction co-efficient, isoelectric point, charged , acidic, basic, polar and hydrophobic amino acid profile. Moreover, it is a repository of relevant information (taking into account all four serotypes of virus) as: Virus morphology, severity, pathogenesis, disease manifestations and its control and management. 2013 MAJOR PROJECT Genome wise gene prediction in all reading frames. Protein Sequence Computational Analysis Data including : Primary structural details(amino acid composition, molar extinction co-efficient, isoelectric point, charged , acidic, basic, polar and hydrophobic amino acid profile etc.). Secondary structural details(Residue wise probability of alpha, beta and turns regions, Surface Probability, Antigenic Index, Flexible Regions, Alpha and Beta, Amphipathic Regions etc.), Titration Curves Conserved regions Epitopes Literature reviewed host-virus protein- protein interactions Crystallographic protein structures deposited in PDB Drug targets. Plants metabolites acting as anti viral agents. All the data are linked with Genbank (NCBI) files, the Protein Data Bank (PDB), the Kyoto Encyclopaedia of Genes and Genomes (KEGG), the primary literature, such as publications found in PubMed or other sequence or structure servers for references. In a nutshell, useful information on Dengue Viral disease can be retrieved from the Dengue Knowledge Base and its development provides an opportunity to have insights into various aspects of Dengue viral disease on one platform in an organized and user-friendly manner. Till now, there does not exist any database or web resource that unifies such vast information on the same. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD NO.1346; | - |
dc.subject | DENGUE KNOWLEDGE | en_US |
dc.subject | WEB RESOURCE | en_US |
dc.subject | VIRUS MORPHOLOGY | en_US |
dc.subject | DENGUE VIRAL DISEASE | en_US |
dc.title | DEVELOPMENT OF DENGUE KNOWLEDGE BASE- AN INTEGRATIVE BIOLOGICAL WEB RESOURCE cum DATABASE ON DENGUE VIRAL DISEASE | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Bio Tech |
Files in This Item:
File | Description | Size | Format | |
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report.pdf | 5.85 MB | Adobe PDF | View/Open |
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