Transition states constitute an essential component of the chemical reaction rate theory and are important for understanding the structural and mechanical properties of the systems, and how they react under different environmental conditions. The challenges behind the discovery of transition states however arise from the existence of a large number of rules and constraints as well as the computational complexity involved in energy calculations. In this paper, we present some recent successes of memetic computation and experiences for the discovery of first-order saddle points or transition states in biochemical systems. We show that the exploitation of a priori knowledge on the inherent structure of the problem in the form of memetic search operators led to enhanced search convergence and solution quality. This paper then concludes with a brief discussion on the potentials for the redefinition of memes not only as symbiosis of search operators but as building blocks for complex biochemical systems.
|Title of host publication||GECCO '12 Proceedings of the 14th annual conference companion on Genetic and evolutionary computation|
|Publisher||ACM Digital Library|
|Publication status||Published - 2012|
|Event||2012 Genetic and Evolutionary Computation Conference - Philadelphia, United States|
Duration: 7 Jul 2012 → 11 Jul 2012
|Conference||2012 Genetic and Evolutionary Computation Conference|
|Period||07/07/2012 → 11/07/2012|