Title

Authors

Shanthy Sundaram*, Ashutosh Tripathi, Deepak K Gupta

Affiliation

Centre for Biotechnology, University of Allahabad, Allahabad, U.P, India

Email

shanthy_s@rediffmail.com;* Corresponding author

Article Type

Hypothesis

Date

Received July 20, 2010; accepted August 20, 2010; published October 06, 2010

Abstract

Rosmarinic acid (RA) is an ester of caffeic acid and 3, 4-dihydroxyphenyllacticacid. It is commonly found in Coleus blumei, Salvia officinalis, Melissa officinalis and Rosmarinus officinalis. The biosynthesis of RA starts with precursor molecules L-phenylalanine and L-tyrosine. Simulation of RA biosynthetic pathway was done using Gepasi Software, includes the reaction kinetics of each step of the pathway and different integration methods such as Euler’s method. Optimization of the significant parameters responsible for RA biosynthesis was carried out. As the goal of the work was to increase the productivity of i.e. to maximize the concentration of the RA, the final concentration of RA ([RA]t) was selected as an objective function and selected initial concentration of the Caffeoyl-3’-4’hydroxyphenyllactic acid (3’C4HPLA) as parameter constraint and varied its initial concentration as: 0= [3’C4HPLA]i = 0.025. Several optimization methods such as Simulated annealing, Evolutionary algorithms and Genetic algorithms were used to optimize the objective function. After optimization the final concentration of RA was slightly higher (4.566132e-002 mM) than before optimization (4.047119e- 002 mM). On the basis of results obtained, it is clear that 4-hydroxyphenyllactic acid and 3’C4HPLA play major role in the high productivity of the RA.

Keywords

Metabolic modeling, Rosmarinic acid, Simulation, Simulated annealing.

Citation

Sundaram et al. Bioinformation 5(1):168-172 (2010)

Edited by

P. Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.