Shomona Gracia Jacob
Editorial Notes
NOTICE OF CONCERN: ACM has received evidence that casts doubt on the integrity of the peer review process for the ICIA 2016 Conference. As a result, ACM is issuing a Notice of Concern for all papers published and strongly suggests that the papers from this Conference not be cited in the literature until ACM's investigation has concluded and final decisions have been made regarding the integrity of the peer review process for this Conference.
ABSTRACT
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.
- Amy Reeve, Eve Simcox, Doug Tumbull. 2014. Ageing and Parkinson's disease: Why is advancing age the biggest Risk factor? Elsevier-Ageing Research Reviews 14 (2014) 19--30 DOI: http://dx.doi.org/10.1016/j.arr.2014.01.004Google Scholar
Cross Ref
- Beatrice Duthey. 2013. Background paper 6.11 Alzheimer Disease and other dementias. Priority Medicines for Europe and the world "A public health approach to Innovation"(2013):1--74 http://www.who.int/medicines/areas/priority_medicines/BP6_11Alzheimer.pdfGoogle Scholar
- Catharina Wesseling, Norbel Roman, Indiana Quiro, Laura Paez, Vilma Garcia, Ana Mari Mora, Jorge L. Juncos, Kyle N. Steenland. 2013. Parkinson's and Alzheimer's diseases in Costa Rica: a feasibility study toward a national screening program.Glob Health Action 2013, 6: 23061. DOI= http://dx.doi.org/10.3402/gha.v6i0.23061Google Scholar
- Computing, Cognition and the future of working http://www.research.ibm.com/software/IBMResearch/multimedia/Computing_Cognition_WhitePaper.pdfGoogle Scholar
- Geetha Ramani R, Shomona Gracia Jacob. 2013. Improved Classification of Lung Cancer Tumors Based on Structural and Physicochemical Properties of Proteins Using Data Mining Models. PLOS ONE March 7, 2013 8(3):e58772 http://doi:10.1371/journal.pone.0058772Google Scholar
- Gene Card Database. Available: www.genecards.org. Accessed: 2016 May 15.Google Scholar
- Gene Set Enrichment Analysis Data: Gene Sets. Available: http://software.broadinstitute.org/gsea/msigdb/cards/KEGG_ALZHEIMERS_DISEASE.htmlGoogle Scholar
- Gene Set Enrichment Analysis Data: Gene Sets. Available: http://software.broadinstitute.org/gsea/msigdb/cards/KEGG_PARKINSONS_DISEASE.htmlGoogle Scholar
- Guofeng Meng, Xiaoyan Zhong, Hongkang Mei. 2016. A Systematic Investigation into Aging Related Genes in Brain and their Relationship with Alzheimer's disease. PLOS ONE 11(3):e0150624.http://doi:10.1371/journal.pone.0150624Google ScholarCross Ref
- H.B. Rao, F. Zhu, G.B. Yang, Z.R. Li, and Y.Z. Chen. Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Nucleic Acids Res. Jul 1, 2011; 39(Web Server issue):W385--90.Google Scholar
- Kaj Blennow, Leonardo Biscetti, Paolo Eusebi P and Lucilla Parnetti. 2016. Cerebrospinal fluid markers in Alzheimer's and Parkinson's diseases-From pathology to clinical practice. Movement disorders Volume 31, Issue 6, Version of Record online: 1 JUN 2016- wiley online library DOI=http://DOI:10.1002/mds.26656Google Scholar
- KEGG (Kyoto Encyclopedia of Genes and Genomes). Available: http://www.kegg.jp/. Accessed 2016 May 17.Google Scholar
- Michael S Rafii, Paul S Aisen.2015.Advances in Alzheimer's disease Drug Development.BMC Medicine (2015) 13:62, DOI=http://DOI10.1186/s12916-015-0297-4Google Scholar
- Silvia A. Mandel, Micaela Morelli, Ilan Halperin, Amos D. Korczyn. 2010. Biomarkers for prediction and targeted prevention of Alzheimer's and Parkinson's diseases: evaluation of drug clinical efficacy. EPMA Journal (2010) 1:273--29. DOI=http://DOI 10.1007/s13167-010-0036-zGoogle Scholar
- Thomas V.Wiecki and Michael J. Frank. 2010. Neurocomputational models of motor and cognitive deficits in Parkinson's disease. Elsevier-Progress in Brain Research, Volume 183,2010,pages 275--297. DOI=http://DOI: 10.1016/S0079-6123(10)83014-6Google Scholar
- Universal Protein Resource. Available: www.uniprot.org. Accessed: 2016 May 17.Google Scholar
- Vivianna M. Van Deerlin. 2012. The Genetics and Neuropathology of Neurodegenerative Disorders: Perspectives and Implications for Research and Clinical Practice. Springer Acta Neuropathol. 2012 September; 124(3): 297--303.DOI= doi:10.1007/s00401-012-1032-2.Google Scholar
- Céu Mateus and Joana Coloma Health Economics and Cost of Illness in Parkinson's Disease. 2013. Movement Disorders Parkinson's disease. 2013;8(1):6--9 DOI:=http://doi.org/10.17925/ENR.2013.08.01.Google Scholar
Recommendations
Comparison of Methods for Differential Co-expression Analysis for Disease Biomarker Prediction
AbstractIn the recent past, a number of methods have been developed for analysis of biological data. Among these methods, gene co-expression networks have the ability to mine functionally related genes with similar co-expression patterns, ...
HighlightsThe following are the main characteristics of the comparative study.
- In this paper, we present a comparative study of four co-expression module detection techniques, namely, ...
The potential of natural product vs neurodegenerative disorders: In silico study of artoflavanocoumarin as BACE-1 inhibitor
Graphical abstractDisplay Omitted
Highlights- Artoflavanocoumarin possesses essential pharmacophoric groups to inhibit BACE1.
AbstractIncreasing evidence suggests the beneficial impact of flavonoid-rich nutrition on normal cognitive function. It has been revealed that flavonoids can slow neurodegenerative processes in situations such as Alzheimer’s disease (AD). The ...
Visualization and Analysis of Parkinson’s Disease Status and Therapy Patterns
Discovery ScienceAbstractParkinson’s disease is a neurodegenerative disease affecting people worldwide. Since the reasons for Parkinson’s disease are still unknown and currently there is no cure for the disease, the management of the disease is directed towards handling ...
Comments