Radoslav Bozov - Theory of Carbon Signaling. Negentropy vs Entropy - Emergence of Self Propagated Biological Systems

Version 1

      Publication Details (including relevant citation   information):

      Published at World Scientific and Engineering Academy and   Society,

      cited journals include: nature, Origin of Life, Jurnal of   American Chemical Society, European Journal of Biochemistry, The   Journal of Biological Chemistry, Clinical Chemistry, Journal of   American Physiology, Bioorganic chemistry, Science, Journal of   Molecular Biology, Endocrinology and Metabolism, American Journal   of Cell Physiology, Bioinformatics, Protein Science, Biophisica   and Biochemica acta,

     

      Abstract:

      How can we model the causative force of reversible covalent   modifications? DNA provides information for synthesizing proteins   which in term drive metabolic processes. Understanding basic   metabolic processes currently do not help explain regulative   forces controlling gene expression. Rather it is claimed that the   chromatin state determined by DNA and histone modifications   regulate gene expression. We now know that chemistry underlines   and explains biological phenomena. However, understanding dynamic   chemistry in large space such as a cell has been difficult   through conventional models capturing structural changes of   metabolites in spatially defined motifs where active sites   determine change of mass. How do we expand in space? We certainly   need to implement defined physical concepts and to elaborate on   set of principles in order to construct emergent principles. The   results from sequencing technology have posed new questions that   require alternative approaches of system analysis. The functions   of non-coding RNA’s have linked gene expression with the smallest   covalent modifications, methylation and acetylation. The smallest   and the largest molecules such as protein complexes are the most   difficult to study in biological systems because of their   transient characteristics. Hierarchical time scale differences   additionally complicate computational models as open systems tend   to be difficult to analyze due to environmental, transport,   irreversible, or regulatory constrains. Building a dynamic model   of multiple dimensional composite functions at each moment by   approximating negativity as a function of mass change is what may   be necessary for discovering the causative force underlying   oscillations in concentrations and states of small molecules and   therefore populations. Is there a mechanism to define species’   variability through the physics of small molecules relative to   the origin of carbon signaling?

     

      Address (URL): http://www.wseas.us/e-library/conferences/2011/Cambridge/MEDICAL/MEDICAL-09.pdf