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Abstract

We investigate Quantum Darwinism and the emergence of a classical world from the quantum one in connection with the spectral properties of the environment. We use a microscopic model of quantum environment in which, by changing a simple system parameter, we can modify the information back flow from environment into the system, and therefore its non-Markovian character. Quantum Darwinism is a fascinating theory that explains the emergence of a classical objective reality in terms of proliferation of information about certain states of a quantum system into the environment1,2. We live in a quantum Universe, the behaviour of all microscopic constituents being described by the laws of quantum physics. There is overwhelming evidence that this incredibly successful theory applies at all scales. Why then the macroscopic objects populating our everyday reality are only found in a much smaller subset of states, consistent with classical laws? We show that the presence of memory effects hinders the emergence of classical objective reality, linking these two apparently unrelated concepts via a unique dynamical feature related to decoherence factors.: HCV infection has been declared as a principal health problem in more than 200 million individuals throughout the world. It is a positive-stranded RNA virus and classified as a hepacivirus of the flaviviridae family. Unlike other viral infections Hepatitis C Virus even with its high replication rate can stick within a human host for decades without any irritation or liver damage. Estimated 10 million people are believed to be infected by HCV alone in Pakistan. Eventually the infection causes severe complications in 60 to 70% of patients such as cirrhosis, fibrosis, liver failure and hepatocellular carcinoma. Prior to the development of HCV protease inhibitors combination therapy, patients with HCV infection were treated with pegylated interferon-α and ribavirin. The adverse side effects associated with this type of treatment such as anemia, flu-like symptoms, depression, gastrointestinal symptoms, fatigue and cutaneous reactions may lead to the discontinuation of treatment in certain number of patients. The growth in scientific knowledge of HCV life cycle and its replication leads to the development of inhibitors of HCV proteases. A polyprotein precursor encoded by HCV RNA genome containing structural proteins capsid (C), membrane (prM), envelope (E) and nonstructural (NS) proteins (NS1, NS2a, NS2b, NS3, NS4a, NS4b, NS5). NS3 protease when activated by NS4A causes the cleavage of polyprotein producing the non-structural proteins 4A, 4B, 5A, 5B and is thus very supportive in the replication of virus. That is why NS3/4A protease is a significant emerging target for the treatment of HCV infection. NS3 associates to the ER membrane only in the presence of NS4A. Main actively conserved protein target families can be distinguished by a simple look at physicochemical properties (molecular weight, log P, polar surface area, H-bond donor and acceptor counts) of their cognate ligands (Morphy, 2006). One can thus easily imagine that more sophisticated descriptors can be used to predict a global target profile for any given compound, provided that targets to be predicted are sufficiently well described by existing ligands. In this study we resulted finally in a Non-Markovianity In Silico generation of a hinders Quantum Darwinism sophisticated descriptor for the in silico identification and free energy evaluation of hybrid KPQRKTKRNT peptidomimetic leads and for the potential simultaneous inhibition of helicase and HCV Structural NS3/4A protease regions.

Keywords

Non-Markovianity hinders Quantum DarwinismIn Silico generation of a sophisticated descriptor for the in silico identification and free energy evaluation of hybrid KPQRKTKRNT peptidomimetic leads for a potential, simultaneous inhibition of helicase and HCV´sStructural NS3/4A protease regions.

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) Non-Markovianity In Silico generation of a hinders Quantum Darwinism sophisticated descriptor for the in silico identification and free energy evaluation of hybrid KPQRKTKRNT peptidomimetic leads and for the potential simultaneous inhibition of helicase and HCV Structural NS3/4A protease regions.

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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