Synthetic biology
efforts for cannabinoid research have seen a
rapid expansion in recent years. This is in response to the increasing
awareness and legalization of the secondary metabolites from Cannabis sativa, dubbed the green rush. In transgenic synthetic
biology applications, NphB is a promiscuous prenyltransferase from Streptomyces sp. often used as a replacement in the prenylation
step producing the cannabinoid cannabigerolic acid (CBGA), the key
precursor to many other cannabinoids. However, its application as
a CBGA synthase replacement is limited by its nonspecific regioselectivity
in producing a side product along with CBGA. Herein, we demonstrated
a detailed and extensive computational structure-guided approach in
identifying target residues of mutation for engineering NphB for optimal
CBGA production. Our comprehensive computational workflow has led
to the discovery of several highly regiospecific variants that produce
CBGA exclusively, with the best-performing V49W/Y288P variant having
a 13.6-fold yield improvement, outperforming all previous work on
NphB enzyme engineering. We subsequently investigated the effects
of these mutations by X-ray crystallographic studies of the mutant
variants and performed molecular dynamics simulations to uncover an
interplay of a H-bonding network and an optimal ligand orientation
that favors the CBGA production over the side product. Collectively,
this study not only recapitulates the utility of computational tools
in informing and accelerating experimental design but also contributes
to a better understanding of molecular mechanisms that govern enzyme
regioselectivity and readily aids in cannabinoid synthetic biology
production for future research into maximizing their therapeutic potential.
Natural products make up a large proportion of medicine available today. Cannabinoids from the plant Cannabis sativa is one unique class of meroterpenoids that have shown a wide range of bioactivities and recently seen significant developments in their status as therapeutic agents for various indications. Their complex chemical structures make it difficult to chemically synthesize them in efficient yields. Synthetic biology has presented a solution to this through metabolic engineering in heterologous hosts. Through genetic manipulation, rare phytocannabinoids that are produced in low yields in the plant can now be synthesized in larger quantities for therapeutic and commercial use. Additionally, an exciting avenue of exploring new chemical spaces is made available as novel derivatized compounds can be produced and investigated for their bioactivities. In this review, we summarized the biosynthetic pathways of phytocannabinoids and synthetic biology efforts in producing them in heterologous hosts. Detailed mechanistic insights are discussed in each part of the pathway in order to explore strategies for creating novel cannabinoids. Lastly, we discussed studies conducted on biological targets such as CB1, CB2 and orphan receptors along with their affinities to these cannabinoid ligands with a view to inform upstream diversification efforts.
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