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https://repository.sustech.edu/handle/123456789/5396| Title: | Relationship between Protein Sequence and Disease |
| Other Titles: | العلاقة بين تسلسل البروتين و الامراض |
| Authors: | Abd elraheem, Alaa Sharaf Eldeen AbdAlla Supervisor - Saad Daoud Suliman El Shamma |
| Keywords: | Biomedical Engineering Protein Disease |
| Issue Date: | 1-Jul-2011 |
| Publisher: | Sudan University of Science and Technology |
| Citation: | Abd elraheem,Alaa Sharaf Eldeen AbdAlla .Relationship between Protein Sequence and Disease/Alaa Sharaf Eldeen AbdAlla Abd elraheem;Saad Daoud Suliman El Shamma .- Khartoum:Sudan University of Science and Technology,College of Engineering,2011.-26p. : ill. ; 28cm.-M.Sc. |
| Abstract: | This research a interduced new protein data base (AD/AMYDB) which concern with Alzheimer amyloid proteins, ,this data base contains information about 10 amyloid proteins which related to Alzheimer disease, data used taken from NCBI data base ,search with in data base done by using CLC protein work bench. This program designed for detecting protein-disease (Alzheimer disease )associations based on the human protein sequence and can be used at Alzheimer disease research center . Misfolding and aggregation of proteins into ordered fibrillar structures is associated with a number of severe pathologies, including Alzheimer's disease, prion diseases, and type II diabetes. The rapid accumulation of knowledge about the sequences and structures of these proteins allows using of in silico methods to investigate the molecular mechanisms of their abnormal conformational changes and assembly. However, such an approach requires the collection of accurate data, which are inconveniently dispersed among several generalist databases. One of the most important tasks of modern bioinformatics is the development of computational tools that can be used to understand and treat human disease. To date, a variety of methods have been explored and algorithms for predicting whether a protein is involved in disease are gaining in their utility. |
| Description: | Thesis |
| URI: | http://repository.sustech.edu/handle/123456789/5396 |
| Appears in Collections: | Masters Dissertations : Engineering |
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