engleski

Optimization of enzymatic kinetics by using MaxENT and MEP entropy principles

The question connecting physics and biology, which has never been resolved in the literature, is about interdependence of biological and thermodynamic evolution: are biological macromolecules and living cells optimized to produce as little or as much entropy as possible. Related question is about Shannon’ s (information) entropy: are present-day enzymes designed by evolution to have minimal or maximal information entropy. These questions will be discussed for steady state enzyme kinetics applied in modeling bacterial photosynthesis, the molecular motor of ATP synthase and generalized Michaelis-Menten mechanism for enzymatic reactions. We shall examine the hypothesis that natural evolution in biology can be predicted as well as evolution in thermodynamics by using the same rules of statistical mechanics, when assumption is made that the most probable behavior in each case is selected by the principle of maximum Shannon entropy and one of its corollaries – Maximum Entropy Production Principle.

entropy production; information entropy; enzyme kinetics

Conference program and abstracts of invited talks for the meeting: The 1st Split Meeting on Development and Applications of Novel Methods and Models in Computational Biophysics and Structural Bioinformatics are available at the: http://www.pmfst.hr/se/z_fizika/konf/