Title | ||
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Extraction of Protein Sequence features for Prediction of Neuro-degenerative Brain Disorders: Pioneering the CGAP database |
Abstract | ||
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Computational Analysis (CA) is an essential step in the study of gene and protein sequences wherein comparing multiple sequences manually, turn out to be impractical.CA helps to locate a gene within a sequence, to predict protein structure or function and to cluster protein sequence into families of related sequences. One of the emerging applications of CA is Cognitive Computing (CC) that encompasses any computational method/model that will assist in understanding the functioning of the human brain. In Computational Neuroscience, CC is a pivotal area of research that creates a model by making use of Data mining algorithms and machine learning techniques. Genetic mutations that cause neuro-degeneration, if identified early are expected to be treated in an effective manner with an increased success rate. Most of these neuro-degenerations are asymptomatic and hence not diagnosed until the disease has progressed massively. This has been the rationale of this research to investigate the possibility of utilizing computational methods to explore genetic data (gene/protein sequences/properties/mutations) and their role in triggering/treating such neuro-degenerations. Hence, this paper presents the first database that has been extracted to investigate the protein features common to Alzheimer's and Parkinson's disease. This database can be used by other researchers to further investigations in the area of identifying causes, symptoms and possible treatment for neuro-degenerations through computational methods. |
Year | DOI | Venue |
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2016 | 10.1145/2980258.2980312 | Proceedings of the International Conference on Informatics and Analytics |
Keywords | Field | DocType |
Cognitive Computing, Data mining, Alzheimer's disease, Parkinson's disease | Computational neuroscience,Disease,Gene,Protein sequencing,Computer science,Human brain,Computational analysis,Cognitive computing,Database,Protein structure | Conference |
ISBN | Citations | PageRank |
978-1-4503-4756-3 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
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Shomona Gracia Jacob | 1 | 5 | 0.91 |
R. Athilakshmi | 2 | 0 | 0.34 |