Metabolic modeling of Rosmarinic acid biosynthetic pathway

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.