Quantum Mechanics, Cell-Cell Signaling, and Evolution

Download or read book Quantum Mechanics, Cell-Cell Signaling, and Evolution written by John S. Torday and published by Elsevier. This book was released on 2022-09-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum Mechanics, Cell-Cell Signaling, and Evolution offers a detailed accounting of the latest research and theorizing on the integration of quantum physics with biological action to produce a novel perspective on evolution. The book advocates for a paradigm shift towards understanding biology and medicine causally as predictive sciences, presenting quantum mechanics and physiology as vertically integrated. The author has taken a unique approach to the question of how and why evolution occurred. The account is based on extensive knowledge of lipid physical chemistry, and its role in the evolution of the lung under the influence of hormonal effects on structure and function. The title arranges lipid biochemistry and biophysics into an integrated explanation, guiding readers from the immersion of lipids in water as the origin of life, to lung surfactant in alveolar homeostasis, and leading to a new understanding of how consciousness interacts with the laws of nature. This volume argues for a novel understanding of evolutionary processes based on fundamental science and positions itself as seeking consilience among research disciplines. Starting from the origins of the cosmos, the author proceeds through nucleosynthesis and Endosymbiosis Theory, to finally describe consciousness in relation to natural law. - Offers a novel account of evolutionary mechanisms integrating quantum mechanics and cell-cell signaling - Presents the latest research and theorizing on the integration of quantum physics with biological action - Grounds theoretical insights in lipid physical chemistry and the evolution of the lung - Details an integrated, causal account of evolution operating across physical and biological domains - Argues for a paradigm shift in the way evolution is understood