IMPLEMENTING BIOINFORMATICS FOR THE STUDY OF DIABETES MELLITUS TYPE II, IN SIMILARITY SEARCH, AND CONSTRUCTION OF PHYLOGENETIC TREE.
Priyanka Dongre, Ashwini Jarange, *Shubham Mete, Sudarshan Padale, S. N. Harke and Yusuf Talib
Diabetes mellitus, describes a group of metabolic diseases in which the person has high amount of blood glucose (blood sugar), either because insulin production is inadequate, or body's cells do not respond properly to insulin, or both. Patients with high blood sugar will usually experience polyuria (frequent urination), they will become increasingly thirsty (polydipsia) and hungry (polyphagia). Diabetes is a condition in which blood sugar level increases. In 2017 it was estimated that over 425 million people (aged between 20 and 79 years) over the world had diabetes. Diabetes is mainly classified in two types: Type I and Type II. In Type I Diabetes the body is not able produce insulin. Approximately 10% of all diabetes cases are type I, In Type II Diabetes the body does not produce enough insulin for proper function. Approximately 90% cases of diabetes worldwide are of type II. Bioinformatics one of the field in life science plays an important role to study diabetes and its effective impact on the life of human kind. In these field various types of methods, algorithm, programs are available to search for similarity (alignment), to provide the 3D coordinates (structure prediction), and to provide the Pedigree analysis (phylogenetic Tree Construction). To implement above said methods for sequence, structure, Tree construction as sample study we took Diabetes as a marker. Three samples were studied based on their BMI (Body mass Index), BSL (Blood Sugar Level), LP (lipid Profile), and Glycelated Haemoglobin (HbA1C). In the given study approach is to correlate three 3 conditions Healthy, Prediabetic and Diabetic.
Keywords: Bioinformatics, Diabetes, Alignment, Structure Prediction, Phylogenetic tree.
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