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M. Pant, P. Sharma, T. Radha, R.S. Sangwan and U. Roy, 2008. Nonlinear Optimization of Enzyme Kinetic Parameters. Journal of Biological Sciences, 8: 1322-1327.
DOI: 10.3923/jbs.2008.1322.1327
URL: https://scialert.net/abstract/?doi=jbs.2008.1322.1327
DOI: 10.3923/jbs.2008.1322.1327
URL: https://scialert.net/abstract/?doi=jbs.2008.1322.1327
Okoli Etuk Reply
This is an interesting study that highlights the advantages of using nonlinear optimization techniques for enzyme kinetics analysis. The use of Genetic Algorithms and Particle Swarm Optimization can provide a more accurate estimate of kinetic parameters compared to traditional graphical methods. The inclusion of a unique enzyme, geraniol acetyltransferase, adds value to the study by demonstrating the applicability of these techniques to a variety of enzyme systems. Overall, this study provides valuable insights into the optimization of enzyme kinetic parameter determination.
Editor
Thank you for your positive feedback on the article "Nonlinear Optimization of Enzyme Kinetic Parameters". We are glad to hear that you found the study interesting and informative. We agree that nonlinear optimization techniques offer a valuable approach for accurate enzyme kinetics analysis. We hope that the study will contribute to the advancement of this field and inspire further research in this area. Thank you for your support.