To build and analyze the network of pathways associated with Alzheimer’s disease in Drosophila melanogaster and C.elegans

Authors

  • Santosh Ambhure  Institute of Bioscience and Technology, MGM campus, Aurangabad, Maharashtra, India
  • Manisha Parihar  Institute of Bioscience and Technology, MGM campus, Aurangabad, Maharashtra, India
  • Yusuf Talib  Department of Biotechnology & Bioinformatics, Dr.Rafiq Zakaria Campus, Maulana Azad College,Aurangabad, Maharashtra, India

Keywords:

KEGG, STRING Database, Alzheimer's disease, Networks

Abstract

Alzheimer's disease is progressive disease that destroys memory and other important mental function. In this project I studied the pathways associated with Alzheimer's disease in Drosophilamelanogaster and C.elegans which shows the common set of proteins and genes derived from wnt signalling pathway and protein processing in ER present in Alzheimer’s and further I am done with Networks of proteins and genes using databases like EsyN and STRING. According to networks of genes and proteins I found, pathway of Homo sapiens is dependent pathway because the common protein GAPDH has been interacting with neurodegenerative disease-associated proteins, including the APP, BACE1, APOE, PSEN1 and ADAM10 which can lead to Alzheimer’s disease. Hence if GAPDH will be considered as a target protein and its potential inhibitors could be found , it will lead to inhibit or cure the neurodegenerative diseases .

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Santosh Ambhure, Manisha Parihar, Yusuf Talib, " To build and analyze the network of pathways associated with Alzheimer’s disease in Drosophila melanogaster and C.elegans , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.1793-1796, March-April-2018.