Methyl Jasmonate (MJ) is a potential anticancer drug along with other therapeutic importance. MJ generation is predominantly dependent on plant based route which directly or indirectly interferes with ecosystem and environmental concerns. However, existing microbial platforms are not yet reliable enough to fulfil industrial prospects upon MJ large scale production due to lower productivity, titer and molar yield. To this end, the major objective of this study is to identify an efficient putative metabolic pathway and its corresponding enzyme components following in silico systems biology tools. Main aim of this study is to establish a platform or hypothesis following systems biology which has a great potential to design efficient pathway with corresponding enzymes towards improving MJ biosynthesis in near future. This computational approach helps to design two most promising intermediate metabolic routes of stearic acid to oleic acid biocatalytic conversions considering thermodynamic constraint towards MJ biosynthesis. Furthermore, this in silico combinatorial methodology predicts most energetically favorable downstream bioconversion of oleic acid for MJ biosynthetic circuit design along with novel enzymes identifications. Moreover, the future plan will be to functionalize and validate the entire predicted metabolic pathway through in vivo experimentation in suitable chassis microorganisms for ameliorating MJ biosynthesis.
Key words: Pathway Prediction, In silico, Productivity, Systems Biology, Chassis Microorganisms, Methyl Jasmonate.
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