ABSTRACT
Metabolic pathways are the central machinery systems that help us understand biological processes governed by a group of molecules, ranging from proteins, genes, and secondary metabolites that are functionally related. These pathways trigger a chain of events and perform biological functions that ultimately result in functional events and reflect the overall importance of building up the necessary process. Understanding this chain of events is essential for various applications, ranging from drug discovery to the development and optimization of pharmaceutical products. Metabolic engineering plays a critical role in optimizing and developing important drugs. Enhancing the yield of certain drugs requires an understanding of pathways and the host environment, which is a challenging process. To help support and overcome these challenges, computational analysis has been proven to speed up and accurately assist in developing better strategies. In this investigation, we have performed an analysis to demonstrate how computational analysis could help optimize the end product and extract the most from secondary products from such analysis.
