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DC Field | Value | Language |
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dc.contributor.author | KUMAR, RITESH | - |
dc.date.accessioned | 2016-09-15T07:01:38Z | - |
dc.date.available | 2016-09-15T07:01:38Z | - |
dc.date.issued | 2016-09 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/15084 | - |
dc.description.abstract | We report results of the studies relating to the structure prediction and function characterization of keratin, type I cytoskeleton-19 proteins, we highlights our study by downloading sequence of Keratin 19 from NCBI (National Centre of Biotechnology information) and PDB or PMDB. Keratin 19 is a member of the keratin family; that is intermediate filaments protein responsible for the structural integrity of epithelial cells and are subdivided into cytokeratin and hair keratins, Keratin 19 is also known as CYFRA -21-1. The Accession No. NP_002267 for physico-chemical properties that is using to predict the 3D structure by I-TASSER and also computed the Expasy’s ProtParam server. In order to select the best suitable templates, the FASTA sequence was subjected to protein BLAST against PDB database. The evaluation of Model and homology modelling were done by SWISS modelling i.e., an online tool. PROCHECK and ProSA analyses would be calculated to validate the 3D orientation of model, stereo-chemical properties and for minimization and validation that is done by SWISS PDB viewer tool (Version 4.0) and detection of salivary cyfra-21-1 protein via biosensors by synthesis and functionalize process of multi walled carbon nano-tubes (MWCNT)/ZrO2 nano-composite with APTES to predict the results. | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | TD NO.2362; | - |
dc.subject | PROTEIN EVALUATION | en_US |
dc.subject | CYFRA-21-1 | en_US |
dc.subject | IN-SILICO METHODS | en_US |
dc.title | CYFRA-21-1 PROTEIN EVALUATION THROUGH IN-SILICO METHODS | 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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COMPLETE FINAL thesis.pdf | 2.51 MB | Adobe PDF | View/Open |
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