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Abstract

The main facts about the scale of time considered as a plot of a sequence of events are submitted both to a review and a more detailed calculation. Classical progressive character of the time variable, present in the everyday life and in the modern science, too, is compared with a circular-like kind of advancement of time. This second kind of the time behaviour can be found suitable when a perturbation process of a quantum-mechanical system is examined. In fact the paper demonstrates that the complicated high-order Schrödinger perturbation energy of a non-degenerate quantum state becomes easy to approach of the basis of a circular scale. For example for the perturbation order N = 20 instead of 19! ≈ 1.216 × 1017 Feynman diagrams, the contribution of which should be derived and calculated, only less than 218 ≈ 2.621 × 105 terms belonging to N = 20 should be taken into account to the same purpose of Circular Scale of Time and Energy of a Quantum State Calculated from the Schrödinger Perturbation Theory 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

Circular Scale of Time, Schrödinger Perturbation Theory, Non-Degenerate Quantum State; Circular Scale of Time; Energy of a Quantum State; Schrödinger Perturbation Theory; identification tool; GLP-1, INGAP-P;IGLHDPSHGTLPNGS peptide mimetic; insulinotropic; high-potency; compounds; chemogenomic databases;

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) Circular Scale of Time and Energy of a Quantum State Calculated from the Schrödinger Perturbation Theory 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