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;

Abstract

Paraconsistent logic (PL) is a non-classical logic that accepts contradiction in its foundations. It can be represented in the form of paraconsistent annotated logic with annotation of two values (PAL2v). When used to model quantum phenomena, PAL2v is called paraquantum logic (PQL). In this work, the concept of PQL is applied to create a logical model presenting the fundamental principles of quantum mechanics that support particle-wave theory. This study uses the well-known Young’s double-slit experiment, wherein quantum phenomena appear when a monochromatic light beam passes through the two slits. We focused on a reference point located between the slits, where we observed the effects of two types of wave interferences in a region defined as a two-wave region (2W region). Considering that the effect in this 2W region is very similar to that studied by Huygens, we adopt a paraquantum logical model in which a particle (or quantum) is represented by two wave functions. The two wave functions result in four State Vectors (Ket, Bra, ⌐Ket, ⌐Bra) in the PQL Lattice that express the symmetry and the entanglement of Quantum Mechanics. The constructed model adapts well to the quantum phenomena, is strongly consistent, and can be considered as an innovative form of analysis in the field of quantum mechanics. Based on this model, we present in two parts (Part I and Part II) the comparative analysis of values found in Schrödinger’s equation and probabilistic models of wave-particle theory using Bonferroni inequality with Paraconsistent Logic (Part I): Quantum Logical Model with Two Wave haplotype phasing algorithm-based 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

A haplotype phasing algorithm-based 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.Undulatory Theory with Paraconsistent Logic (Part I): Quantum Logical Model with Two Wave Functions

Abstract

In this paper, an entanglement criterion for states in infinite dimensional bipartite quantum systems is presented. We generalize some of separability criterion that was recently introduced by Wu and Anandan in (Phys. Lett. A, 2002, 297, 4-8) to infinite dimensional bipartite quantum systems. In addition, we give an example aimed to illustrate the applica-tion of the theorem. IL-23 is part of the IL-12 family of cytokines and is composed of the p19 subunit specific to IL-23 and the p40 subunit shared with IL-12. IL-23 specifically contributes to the inflammatory process of multiple chronic inflammatory autoimmune disorders, including psoriasis, multiple sclerosis, inflammatory bowel disease, and rheumatoid arthritis. So far, one antibody targeting the shared p40 subunit of IL-12 and IL-23, Ustekinumab, is approved clinically to treat psoriasis. However, there are no treatments inhibiting specifically the IL-23 proinflammatory response. Here, we discovered for the first time the GENEA-ilopentinor-9923 introducing Highthroughput docking validations using fractions of intermolecular interactions for the in silico generation of a synthetic IL-23 derivbed (teeeqqly)-mimetic multichemical noncompetitive antagonist with possible anti-inflammatory responses through a in silico fragment-based drug design utilizing a PASS approach.

Keywords

novel small, peptide mimetic, noncompetitive antagonist, specific targeting, IL-23 receptor, Entanglement Criterion; Infinite Dimensional Quantum Systems; Bochner Integral Representation, Entanglement Criterion΄΄ States Infinite Dimensional Bipartite΄΄ Quantum Highthroughput docking; validations Systems; fractions intermolecular interactions; in silico; generation; synthetic IL-23; (teeeqqly)-mimetic; multichemical noncompetitive; antagonist; anti-inflammatory responses;

Abstract

Environment induced decoherence, and other quantum processes, have been proposed in the literature to explain the apparent spontaneous selection―out of the many mathematically eligible bases―of a privileged measurement basis that corresponds to what we actually observe. This paper describes such processes, and demonstrates that―contrary to common belief―no such process can actually lead to a preferred basis in general. The key observation is that environment induced decoherence implicitly assumes a prior independence of the observed system, the observer and the environment. However, such independence cannot be guaranteed, and we show that environment induced decoherence does not succeed in establishing a preferred measurement basis in general. We conclude that the existence of the preferred basis must be postulated in quantum mechanics, and that changing the basis for a measurement is, and must be, described as an actual physical process for Highthroughput docking validations using No Quantum Process of the Preferred Basis: Decoherence in Universal fractions of intermolecular interactions for the in silico generation of a synthetic IL-23 derivbed (teeeqqly)-mimetic multichemical noncompetitive antagonist with possible anti-inflammatory responses.

Keywords

Highthroughput docking validations; fractions of intermolecular interactions; in silico generation; synthetic IL-23; (teeeqqly)-mimetic; multichemical; noncompetitive antagonist; possible anti-inflammatory responses; Quantum Process; Preferred Basis: Decoherence; Universal Quantum Mechanics; Measurement, Preferred Basis, Entanglement1.

Abstract

In this paper, I shall sketch a new way to consider a Lindenbaum-Tarski algebra as a 3D logical space in which any one (of the 256 statements) occupies a well-defined position and it is identified by a numerical ID. This allows pure mechanical computation both for generating rules and inferences. It is shown that this abstract formalism can be geometrically represented with logical spaces and subspaces allowing a vectorial representation. Finally, it shows the application to quantum computing through the example of three coupled harmonic oscillators.Many lines of evidence support that β-amyloid (Aβ) peptides play an important role in Alzheimer’s disease (AD), the most common cause of dementia. But despite much effort the molecular mechanisms of how Aβ contributes to AD remain unclear. While Aβ is generated from its precursor protein throughout life, the peptide is best known as the main component of amyloid plaques, the neuropathological hallmark of AD. Reduction in Aβ has been the major target of recent experimental therapies against AD. Unfortunately, human clinical trials targeting Aβ have not shown the hoped-for benefits. Here, we discovered for the first time the GENEA-AfiMoloplaque-5556, a Rationally predicted of β-amyloid Peptide mimetic pharmaco-natural amyloid plaques derived peptide mimetic-like structures for an annotated dissociation of Amyloid Plaques in Alzheimer’s disease using a big data approach for the ultra-fast prediction of DFT-calculated bond energies and the LBVS: An online platform for ligand-based virtual screening using publicly accessible databases in a KNIME-BiogenetoligandorolTM drug discovery platform.

Keywords

Rationally predicted, β-amyloid Peptide mimetic, pharmacogenomics-like structures; dissociation of Amyloid Plaques, Alzheimer’s disease, large scale; Quantum Computation; chemical; data mining; drug discovery; relative exploration; descriptor-based; encoding selected hits atom types; multi-covalent; fragment-based pharmaco-ligand; novel elucidated; active β-amyloid; Peptide binding sites;

Abstract

Allosteric drug development holds promise for delivering medicines that are more selective and less toxic than those that target orthosteric sites. To date, the discovery of allosteric binding sites and lead compounds has been mostly serendipitous, achieved through high-throughput screening. Over the past decade, structural data has become more readily available for larger protein systems and more membrane protein classes (e.g., GPCRs and ion channels), which are common allosteric drug targets. In parallel, improved simulation methods now provide better atomistic understanding of the protein dynamics and cooperative motions that are critical to allosteric mechanisms. As a result of these advances, the field of predictive allosteric drug development is now on the cusp of a new era of rational structure-based computational methods. Here, we review algorithms that predict allosteric sites based on sequence data and molecular dynamics simulations, describe tools that assess the druggability of these pockets, and discuss how Markov state models and topology analyses provide insight into the relationship between protein dynamics and allosteric drug binding. In each section, we first provide an overview of the various method classes before describing relevant algorithms and software Emerging Computational packages for the Rational large scale chemical data mining allosteric drug discovery of relative exploration for a descriptor-based encoding of selected hits atom types to a multi-covalent fragment-based pharmaco-ligand against novel elucidated active β-amyloid Peptide binding sites.

Keywords

Emerging Computational Methods; Rational Discovery; Allosteric Drugs; large scale; chemical data mining; drug discovery; relative exploration; descriptor-based; encoding of selected hits; atom types; multi-covalent; fragment-based; pharmaco-ligand; novel elucidated active β-amyloid Peptide; binding sites;

Abstract

We investigate the teleportation between two relatively accelerating partners undergoing the phase flip, bit flip and bit-phase flip channels. We find that: 1) the fidelity decreases by increasing the acceleration of accelerated observer; 2) the dynamic evolution of the fidelity is different for various channels if the acceleration is fixed; and 3) the fidelity is always symmetric about 212 where  is a parameter of the Quantum Teleportation transmission state with an Accelerated of a large scale chemical data mining drug discovery relative exploration for a descriptor-based encoding of selected hits atom types to a multi-covalent fragment-based pharmaco-ligand against novel elucidated active β-amyloid Peptide binding sites.

Keywords

Quantum Teleportation; Non-Inertial Frames; Open System 1. Quantum Teleportation Accelerated;large scale; chemical data mining; drug discovery; relative exploration; descriptor-based; encoding; selected hits; atom types; multi-covalent; fragment-based; pharmaco-ligand; novel elucidated; active β-amyloid Peptide; binding sites;

Abstract

The Schrödinger perturbation energy for an arbitrary order N of the perturbation has been presented with the aid of a circular scale of time. The method is of a recurrent character and developed for a non-degenerate quantum state. It allows one to reduce the inflation of terms necessary to calculate known from the Feynman’s diagrammatical approach to a number below that applied in the original Schrödinger perturbation theory. Gene therapy using RNA interference (RNAi) technology has been explored to treat cancers, by regulating the expression of oncogene. However, even though small interfering RNA (siRNA), which triggers RNAi, may have great therapeutic potential, efforts at using them in vivo have been hampered by the difficulty of effective and safe delivery into cells of interest. Safe and efficient carrier for in vitro and in vivo siRNA delivery have been also developed by designed peptide libraries. These peptides are improved variants of a known peptide based siRNA carrier C6. Dark energy is shown to be the absolute value of the negative kinetic energy of the halo-like quantum wave modeled mathematically by the empty set in a five dimensional Kaluza-Klein (K-K) spacetime. Ordinary or position energy of the particle on the other hand is the dual of dark energy and is contained in the dynamic of the quantum particle modeled by the zero set in the same five dimensional K-K spacetime. The sum of both dark energy of the wave and the ordinary energy of the particle is exactly equal to the energy given by the well known formula of Einstein which is set in a four dimensional spacetime. Various interpretations of the results are presented and discussed based on the three fundamental energy density equations developed. In particular where E is the energy, m is the mass and c is the speed of light, is Hardy’s quantum entanglement and gives results in complete agreement with the cosmological measurements of WMAP and Supernova. On the other hand gives an intuitive explanation of negative gravity and the observed increased rate of cosmic expansion. Adding to one finds which as we mentioned above is Einstein’s famous relativity formula. We conclude that similar to the fact that the quantum wave interpreted generally as probability wave which is devoid of ordinary energy decides upon the location of a quantum particle, it also exerts a negative gravity effect on the cosmic scale of our clopen, i.e. closed and open universe. Analysis and conclusions are framed in a reader friendly manner in Figures 1-14 with detailed commentary Quantum Entanglement Dark Energy and Negative Gravity measurements plus Circular Scale of quantitative structure-activity relationship time as a Way of Calculating the Quantum-Mechanical Perturbation Energy Given by the Schrödinger Method with novel Stanisław Olszewski Accelerated Expansion Universe automated lazy learning modelings for the generation of pharmacophore-based custom fingerprinting of high quality atom encoding Endosomolytic Peptide-mimetic agent as siRNA carrier.

Keywords

Evaluation, Endosomolytic Biocompatible, Peptide-mimetic, Pharmacophores, Carriers, siRNA Delivery, Quantum-Mechanical Perturbation Energy, Circular Scale of Time1, Dark Kinetic Energy of the Quantum Wave; Ordinary Position Energy Quantum Particle; Anti Gravity; Negative Curvature; Collapse; Hawking-Hartle; Quantum Wave; Universe; Revising Einstein’s Relativity; Quantum Gravity;

Abstract

Cancer has become a great concern in public health. The harmful side effects and multidrug resistance of traditional chemotherapy prompt urgent needs for novel anticancer drugs or therapeutic approaches. Anticancer peptides (ACPs) have become promising molecules as new anticancer agents due to the unique mechanism and several extraordinary properties. Most α-helical ACPs target on cell membrane and the interactions between ACPs and cell membrane components are believed to be a key factor in the selective killing of cancer cells. As a result we discovered for the first time the GENEA-Alphecanitir-4846, an Alpha-Helical Cationic Anticancer Peptide-mimetic Pharmacophore as a promising candidate novel anticancer drug like scaffold utilizing α Survey of Quantum Lyapunov Control maximum common substructure-based support vector machine algorithmic methods for the Fragment based drug discovery of drug like optimized Alpha-Helical Cationic Anticancer Peptide-mimetic annotated Pharmacophore.

Keywords

A Survey of Quantum Lyapunov Control maximum common substructure-based support vector machine algorithmic Methods for the Fragment based drug discovery of drug like optimized Alpha-Helical Cationic Anticancer Peptide-mimetic annotated Pharmacophore.

Abstract

The condition of a quantum Lyapunov-based control which can be well used in a closed quantum system is that the method can make the system convergent but not just stable. In the convergence study of the quantum Lyapunov control, two situations are classified: nondegenerate cases and degenerate cases. For these two situations, respectively, in this paper the target state is divided into four categories: the eigenstate, the mixed state which commutes with the internal Hamiltonian, the superposition state, and the mixed state which does not commute with the internal Hamiltonian. For these four categories, the quantum Lyapunov control methods for the closed quantum systems are summarized and analyzed. Particularly, the convergence of the control system to the different target states is reviewed, and how to make the convergence conditions be satisfied is summarized and analyzed a Survey of Quantum Lyapunov Control maximum common substructure-based support vector machine algorithm for the Fragment based drug discovery of drug like optimized Alpha-Helical Cationic Anticancer Peptide-mimetic annotated Pharmacophore.

Keywords

Survey;Quantum Lyapunov Control; Methods; maximum common; substructure-based; support vector; machine algorithm; Fragment based drug discovery; drug like; optimized Alpha-Helical; Cationic Anticancer; Peptide-mimetic; annotated Pharmacophore;