Springer Molecular Mechanisms of Autonomy in Biological Systems: Relativity of Code, Energy and Mass

Product Description This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine.  Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing. From the Back Cover This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine.  Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing. About the Author Dr. Tara Karimi has devoted her academic career to studying biological systems and applying the natural principles to create abiologically-inspired technology which mimics autonomous properties of biological systems.   Dr. Karimi started her research in veterinary medicine and from there ventured into biochemistry. The introduction to biochemistry was the onset of her journey into multidisciplinary science. She went on to complete several projects in tissue and genetic engineering, molecular and developmental biology, stem cell research and regenerative medicine. This broad exposure and passion for the chemistry of living systems allowed Tara to connect the dots in biology and chemistry to pioneer what she calls Cognitive Chemistry. Dr. Karimi received her Doctorate in Veterinary Medicine and a Ph.D. in Biochemistry from Shiraz University. Furthermore, she obtained a Postdoc in Tissue Engineering from the University of South Carolina and another Postdoc in Stem Cell Programming from Tulane University.