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Abstract

Newcomb’s problem is a game between two players, one of who has an ability to predict the future: let Bob have an ability to predict Alice’s will. Now, Bob prepares two boxes, Box1 and Box2, and Alice can select either Box2 or both boxes. Box1 contains $1. Box2 contains $1,000 only if Alice selects only Box2; otherwise Box2 is empty($0). Which is better for Alice? Since Alice cannot decide which one is better in general, this problem is called Newcomb’s paradox. In this paper, we propose quantum strategies for this paradox by Bob having quantum ability. Many other results including quantum strategies put emphasis on finding out equilibrium points. On the other hand, our results put emphasis on whether a player can predict another player’s will. Then, we show some positive solutions for this problem. The prognosis of advanced colorectal cancer (aCRC) remains poor, and development of new therapeutic approaches, including immunotherapy, is needed urgently. Phase II Clinical trials of personalized peptide vaccination (PPV) in 60 previously treated patients with aCRC, who had failed at least one regimen of standard chemotherapy and/or targeted therapy have been herein reported. To date, published pharmacophore elucidation approaches typically use a handful of data sets for validation. We have assembled a data set for 281 vaccine-interactive peptides derived from published advanced colorectal cancer conserved binding targets, containing 960000 top ranked selected ligands aligned using their cocrystallized post-translational (aCRC) protein targets, to provide the experimental drug fishing binding pocket ligand based drug discovery ” gold standard”. By utilizing such common in silico drug discovery approaches we discovered for the first time the GENEA-AdevaloCant-65758. A Rationally designed Peptide Immuno-Vaccine mimetic Poly-Chemo-structure for Previously Treated Advanced Colorectal Cancer patients using a haplotype phasing algorithm-based Study of Quantum Strategies for Newcomb’s Paradox. rational methodology for the pharmacological discovery of an advanced Peptide-mimetic Poly-Chemo-construct pharmacophore as a potential canditate compound for Previously Treated Advanced Colorectal Cancer patients.

Keywords

Game Theory; Newcomb’s Paradox, Quantum Strategy, Meyer’s Strategy, Rationally designed, Peptide Vaccine mimetic, Poly-Chemo-structure, Advanced Colorectal Cancer, haplotype phasing; algorithm-based; rational methodology; pharmacological discovery; advanced Peptide-mimetic; Poly-Chemo-construct; pharmacophore; potential canditate compound; Treated Advanced; Colorectal Cancer patients; Quantum Strategies; Newcomb’s Paradox;

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)A haplotype phasing algorithm-based Study of Quantum Strategies for Newcomb’s Paradox. rational methodology for the pharmacological discovery of an advanced Peptide-mimetic Poly-Chemo-construct pharmacophore as a potential canditate compound for Previously Treated Advanced Colorectal Cancer patients.

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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