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Abstract

Diabetes mellitus affects over 100 million individuals worldwide. In the U.S., the estimated healthcare costs of those affected by diabetes is approximately 136 billion dollars annually. Diabetes mellitus is a disorder of the metabolism that is characterized by the inability of the pancreas to secrete sufficient amounts of insulin, which results in large fluctuations in blood glucose levels and can have both short- and long-term physiological consequences. Glucagon-like peptide-1 (7-36) amide (GLP-1) is a gut hormone, released postprandially,which stimulates insulin secretion and insulin gene expression as well as pancreatic B-cell growth. Together with glucose-dependent insulinotropic polypeptide (GIP), it is responsible for the incretin effect which is the augmentation of insulin secretion following oral administration of glucose. We therefore for the first time provided in this scientific project a promising alternative to bridge the knowledge gap between insulinotropic biological conserved signaling pathways and chemistry informatic tools which significantly boost the productivity of our chemogenomics research for the distribution of quantum Fisher information in asymmetric cloning computational target fishing mining machinery as an identification tool for predicting therapeutic potential of GLP-1, INGAP-P and IGLHDPSHGTLPNGS peptide mimetic insulinotropic of high-potency compounds based on chemogenomic databases.

Keywords

computational; target fishing; mining machinery;novel target; Identification tool;predicting therapeutic; proinsulin; GLP-1; INGAP-Ppeptide; mimetic;insulinotropic; compounds;chemogenomic;database,Distribution; quantum; Fisher; information; asymmetric; cloning machines;

Article Type

Research Article – Abstract

Publication history

Received: Sep 20, 2017
Accepted: Sep 25, 2017
Published: Oct 01, 2017

Citation

Grigoriadis Ioannis, Grigoriadis George, Grigoriadis Nikolaos, George Galazios (2017) Distribution of quantum Fisher information in asymmetric cloning computational target fishing mining machinery as an identification tool for predicting therapeutic potential of GLP-1, INGAP-P and IGLHDPSHGTLPNGS peptide mimetic insulinotropic of high-potency compounds based on chemogenomic databases.

Authors Info

Grigoriadis Nikolaos
Department of IT Computer Aided Personalized Myoncotherapy, Cartigenea-Cardiogenea, Neurogenea-Cellgenea, Cordigenea-HyperoligandorolTM,
Biogenea Pharmaceuticals Ltd,
Thessaloniki, Greece;

Grigoriadis Ioannis
Department of Computer Drug Discovery Science, BiogenetoligandorolTM,
Biogenea Pharmaceuticals Ltd,
Thessaloniki, Greece;

Grigoriadis George
Department of Stem Cell Bank and ViroGeneaTM,
Biogenea Pharmaceuticals Ltd,
Thessaloniki, Greece;

George Galazios
Professor of Obstetrics and Gynecology,
Democritus University of Thrace,
Komotini, Greece;

E-mail: biogeneadrug@gmail.com

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