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Abstract

In mathematical physics and psychology, “quantum decision theory” has been proposed to explain anomalies in human decision-making. One of such quantum models has been proposed to explain time inconsistency in human decision over time. In this study, we conducted a behavioral experiment to examine which quantum decision models best account for human intertemporal choice. We observed that a q-exponential model developed in Tsallis’ thermodynamics (based on Takahashi’s (2005) nonlinear time perception theory) best fit human behavioral data for both gain and loss, among other quantum decision models. In this study, we conducted an Experimental Comparison of Quantum Decision Theoretical Models of Intertemporal Choice for Gain and Loss Protein−Ligand Hyper drug-target Complexes interaction analysis for the in silico free energy potency optimization for the in silico discovery of a poly-targeted binding-pocket peptide mimic annotated chemo-antagonists to HIV-II viral replication cycle associated enzymes.

Keywords

An Experimental Comparison of Quantum Decision Theoretical Models of Intertemporal Choice for Gain and Loss Protein−Ligand Hyper drug-target Complexes interaction analysis for the in silico free energy potency optimization for the in silico discovery of a poly-targeted binding-pocket peptide mimic annotated chemo-antagonists to HIV-II viral replication cycle associated enzymes, Discounting; Neuroeconomics; Econophysics; Quantum Decision Theory;

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) An Experimental Comparison of Quantum Decision Theoretical Models of Intertemporal Choice for Gain and Loss Protein−Ligand Hyper drug-target Complexes interaction analysis for the in silico free energy potency optimization for the in silico discovery of a poly-targeted binding-pocket peptide mimic annotated chemo-antagonists to HIV-II viral replication cycle associated enzymes.

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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