Showing posts with label ejournal. Show all posts
Showing posts with label ejournal. Show all posts

Wednesday, 23 September 2015

NCIL – 2015 #IJSRD Publication Partner

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015

Thursday, 21 August 2014

#IJSRD Computational Modeling and Docking for H1N1virsus using Bioinformatics

Computational Modeling and Docking for  H1N1virsus using Bioinformatics

Abstract--- This  research work will be carried out using the retrieval of H1N1virsus  Hemagglutinin protein   sequence of Influenza A virus[AEN79399] in FASTA format, these sequence are retrieve from the NCBI database that have unknown structure. The aim of present study was to carry out the computational modeling study of the mentioned protein sequence using 3DJigsawn protein comparative modeling server, Verify-3D structure evaluation server, CHIMERA. Validation process done by Verify3D analyzes, the compatibility of an atomic model (3D) with its own amino acid sequence (1D).Collect all the results for possible Ligand/drug candidate finding in-silico. The last step is Docking study for H1N1 protein with Tamiflu (possible Ligand) that help for finding a correct medicine.

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Wednesday, 23 July 2014

#IJSRD Cloud data Protection

#IJSRD E-JOunral

Protection of the privacy of the cloud Data through Multiple clouds

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The main goal of the “Protection of the privacy of the cloud data through multiple clouds” is to identify and understand the risks associated with the cloud data and propose a distributed architecture to eliminate the risks. In particular, in current cloud architecture a client entrusts a single cloud provider with his data. It gives the provider and outside attackers having unauthorized access to cloud, an opportunity of analyzing client data over a long period to extract sensitive information that causes privacy violation of clients. Hence to overcome this we propose a distributed architecture. The distributed approach to the cloud eliminates the disadvantage of storing all data of a client to the same provider. In this approach the data sent by the client is split into different number of chunks and is distributed among multiple cloud providers. Our system consists of two major components: Cloud data distributor and Cloud providers. The Cloud Data Distributor receives the data in the form of files from many clients, splits each of the files into much number of chunks and distributes these chunks among appropriate cloud providers. Another major component which is Cloud Providers, store these chunks and responds to the chunk requests by providing the chunks.


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