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Complex Systems Biology, Emergence of Life and Human Consciousness
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BRAINpp89ICBjfg242.pdf
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Single cell interactomics in simpler organisms, as well as somatic cell interactomics in multicellular organisms, involve biomolecular interactions in complex signalling pathways that were recently represented in modular terms by quantum automata with ‘reversible behavior’ representing normal cell cycling and division. Other implications of such quantum automata, modular modeling of signaling pathways and cell differentiation during development are in the fields of neural plasticity and brain development leading to quantumweave dynamic patterns and specific molecular processes underlying extensive memory, learning, anticipation mechanisms and the emergence of human consciousness during the early brain development in children. Cell interactomics is here represented for the first time as a mixture of ‘classical’ states that determine molecular dynamics subject to Boltzmann statistics and ‘steadystate’, metabolic (multistable) manifolds, together with ‘configuration’ spaces of metastable quantum states emerging from complex quantum dynamics of interacting networks of biomolecules, such as proteins and nucleic acids that are now collectively defined as quantum interactomics. On the other hand, the time dependent evolution over several generations of cancer cells that are generally known to undergo frequent and extensive genetic mutations and, indeed, suffer genomic transformations at the chromosome level (such as extensive chromosomal aberrations found in many colon cancers) cannot be correctly represented in the ‘standard’ terms of quantum automaton modules, as the normal somatic cells can. This significant difference at the cancer cell genomic level is therefore reflected in major changes in cancer cell interactomics often from one cancer cell ‘cycle’ to the next, and thus it requires substantial changes in the modeling strategies, mathematical tools and experimental designs aimed at understanding cancer mechanisms. Novel solutions to this important problem in carcinogenesis are proposed and experimental validation procedures are suggested. From a medical research and clinical standpoint, this approach has important consequences for addressing and preventing the development of cancer resistance to medical therapy in ongoing clinical trials involving stage III cancer patients, as well as improving the designs of future clinical trials for cancer treatments.
KEYWORDS: Emergence of Life and Human Consciousness;
Proteomics; Artificial Intelligence; Complex Systems Dynamics; Quantum Automata models and Quantum Interactomics; quantumweave dynamic patterns underlying human consciousness; specific molecular processes underlying extensive memory, learning, anticipation mechanisms and human consciousness; emergence of human consciousness during the early brain development in children; Cancer cell ‘cycling’; interacting networks of proteins and nucleic acids; genetic mutations and chromosomal aberrations in cancers, such as colon cancer; development of cancer resistance to therapy; ongoing clinical trials involving stage III cancer patients’ possible improvements of the designs for future clinical trials and cancer treatments.

Baianu
I.C.
Prof. Dr.
ibaianu@illinois.edu

Glazebrook
James F.
Prof. Dr.
jfglazebrook@eiu.edu
ISSN 20673957, Special Issue on Complexity and AI; International Symposium on Understanding Intelligent and Complex Systems, UICS 2009, "Petru Maior" University, Targu Mures, Romania (2223 October 2009).
FSHN & NPRE Departments, AFCNMR & NIR Microspectroscopy Facility

Iamtovics
Barna
Dr.

R·adoiu
D. ,
Dr.

Dehmer
M.
Dr.
University of Illinois at Urbana, IL. 61801, USA
pub
QuantumWeave Patterns in Learning and the Development of Human Consciousness;Quantum Automata; Cell Interactomics; dynamics of geneticproteomic networks and signalling pathways, development, regeneration, the control mechanisms of cell dynamic programming in cells; Neoplastic Transformations and Oncogenesis; Categories and Functors; Homology Theory applications to Qualitative Dynamics; Quantum Genetics; Relational Oscillations; Organismic Supercategories; Qualitative Dynamics of Systems in Organismic Supercategories; Algebraic Geometry in Biology, Cell Division Control and Dynamic Programnming;Cancer Cell Cycling; Categorical Dynamic Systems; Observables Generating Diagram, Relational Biology;Single Molecule Dynamics; Quantum, Electron Tunneling mechanisms in Enzyme Catalized reactions.
Complex Systems Biology, ŁukasiewiczTopos and HigherDimensional Algebraic Models of Cell Interactomics; cell interactomics, dynamics of coupled geneticproteomic networks and signaling pathways, development, regeneration, and control mechanisms of cell dynamic programming in cells, neoplastic transformations and oncogenesis; complex system modeling and biomolecular network representations in categories of Łukasiewicz Logic Algebras and ŁukasiewiczTopos Relational and Molecular Biology, Cell Genomics and Proteomics, and Cell Interactomics are represented in Supercategories defined currently as ncategories (or higher dimensional algebra), Axiomatic definitions of Categories and Supercategories of Relational, Complex Biological Systems.
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Broad Research in Artificial Intelligence and Neuroscience, ISSN 20673957,
BRAIN:
TRUE
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Categorical Ontology of Complex Systems, MetaSystems and Theory of Levels: The Emergence of Life, Human Consciousness and Society
1
published
20100712
Fundamentals of Cognition and Human Consciousness:
 Categories and Functors; Homology Theory applications to Qualitative Dynamics;
Quantum Genetics; Relational Oscillations; Organismic Supercategories;
Qualitative Dynamics of Systems in Organismic Supercategories; Algebraic Geometry in Biology, Cell Division Control and Dynamic Programnming;
Categorical Dynamic Systems; Observables Generating Diagram, Relational Biology;
Single Molecule Dynamics; Quantum in Enzyme Catalized reactions
public