This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Moscovitch, D. Articles by Fibich, G. Search for Related Content PubMed PubMed Citation Articles by Moscovitch, D. Articles by Fibich, G.

Determination of a Unique Solution to Parallel Proton Transfer Reactions Using the Genetic Algorithm

D. Moscovitch ^*, O. Noivirt , A. Mezer , E. Nachliel , T. Mark , M. Gutman  and G. Fibich ^*

^* School of Mathematics, The Faculty of Exact Sciences, and Laser Laboratory for Fast Reactions in Biology, Department of Biochemistry, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel

Correspondence: Address reprint requests to M. Gutman, E-mail: me{at}hemi.tau.ac.il.

Kinetic analysis of the dynamics as measured in multiequilibria systems is readily attained by curve-fitting methodologies, a treatment that can accurately retrace the shape of the measured signal. Still, these reconstructions are not related to the detailed mechanism of the process. In this study we subjected multiple proton transfer reactions to rigorous kinetic analysis, which consists of solving a set of coupled-nonlinear differential rate equations. The manual analysis of such systems can be biased by the operator; thus the analysis calls for impartial corroboration. What is more, there is no assurance that such a complex system has a unique solution. In this study, we used the Genetic Algorithm to investigate whether the solution of the system will converge into a single global minimum in the multidimensional parameter space. The experimental system consisted of proton transfer between four proton-binding sites with seven independent adjustable parameters. The results of the search indicate that the solution is unique and all adjustable parameters converge into a single minimum in the multidimensional parameter space, thus corroborating the accuracy of the manual analysis.

This article has been cited by other articles:

				A. Mezer, E. Nachliel, M. Gutman, and U. Ashery A New Platform to Study the Molecular Mechanisms of Exocytosis J. Neurosci., October 6, 2004; 24(40): 8838 - 8846. [Abstract] [Full Text] [PDF]