The Role Of Bioinformatics In Obesity and Weight management
Bioinformatics has been in the highlight considering its immense scope in various health fields like drug development, especially in the past few years for unraveling the framework and function of intricate biological systems. The research of primary gene based products and technology has further been thought to be symptomatic and evaluating tool for disease identification like obesity and diabetes. Such techniques aim at examining all gene products at the same time in order to get a better outline about disease mechanisms and to access appropriate restorative targets.
The present research by our team targets discovering the proteins responsible for obesity associated medical conditions and the role of complex neurological and endocrine factors responsible for obesity, the primary factors being the hormones like leptin, insulin, dopamine. The technology revolves around mapping of these hormones against the genetic framework for personalized health care.
The research also includes identifying the efficiency and performance of a bacterial strain using standard experimentation. And how these results can influence the development of new drugs like Qsymia and Belviq which act on the neurological and endocrine systems of the body to control weight.
Then again, given that the operational prospective of such micro-organisms are basically decided by its genomic sequence that encodes digestive support enzymes and proteins, it is essentially feasible to uncover functionalities from sequencing the genetics alone.
Lots of firms have definitely sequenced their manufacturing strains, and now the GENOBOX project is concentrating on unique methods to translate this genomic data of microorganisms into strain efficiency traits such as GI-survival, yield, probiotic attributes, safety, or creation of flavour compounds. With a medical specialist , bioinformatics facilities and competence to develop, manage and interpret these mathematical data on obesity and weight loss procedures.
The sum of the computational techniques to examine, manage, and store neurological data is required to gain sufficient insights on causes of weight gain and personalized weight loss treatments. Bioinformatics requires the analysis of biological information using computers and statistical methods, the technology of creating and utilizing computer databases and algorithms to speed up and enhance biological research.
Regardless of numerous efforts being made to weaken their impact on the quality of life of affected patients, there continues to be plenty of sophistication in the pathogenesis of overweight mediated type 2 diabetes.
Through hormonal function of fatty tissue, it is known to produce a vast array of adipocyte derived factors such as tumor necrosis factor alpha, interleukin-6, leptin, adiponectin and resistin.