文章基本信息

标题：Molecular Database Generation for Type 2 Diabetes using Computational Science-Bioinformatics' Tools
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作者：Gagandeep Kaur Grewal ; Dr. Amardeep Singh
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：7
页码：2811-2817
出版社：Engg Journals Publications
摘要：In this paper a new algorithm GIGC is proposed which is the modified form of glucose insulin meal GIM model. Diabetes mellitus is one of the worst diseases that are affecting adversely large population. Thismotivates many researchers to study the glucose-insulin endocrine regulatory system and to design algorithms that could be applied on real time patient and benefit the medical field. Diabetes occurs when blood glucose levels are too higher than normal. Type two diabetes, also known as mellitus has exceeded its growth to a large extent worldwide, and its impact on global health care problem has increased the interest of the scientific community Variation in insulin sequence is combined to glucose insulin meal simulation model to develop a modified algorithm. Glucose insulin meal simulation software doesn�t simulate for T2D. The new algorithm GIGC has been implemented using glucose insulin meal software in which genetic variation along with insulin glucose secretion dynamically are combined to help in reducing the prevalence of T2D.
关键词：BLAST; GIGC; NCBI; SWISS PROT; T2D.