Zhang, Congqiang; Chen, Xixian; Lee, Raphael Tze Chuen; T, Rehka; Maurer-Stroh, Sebastian; Ruhl, Martin published the artcile< Bioinformatics-aided identification, characterization and applications of mushroom linalool synthases>, Application In Synthesis of 78-70-6, the main research area is .
Abstract: Enzymes empower chem. industries and are the keystone for metabolic engineering. For example, linalool synthases are indispensable for the biosynthesis of linalool, an important fragrance used in 60-80% cosmetic and personal care products. However, plant linalool synthases have low activities while expressed in microbes. Aided by bioinformatics anal., four linalool/nerolidol synthases (LNSs) from various Agaricomycetes were accurately predicted and validated exptl. Furthermore, we discovered a linalool synthase (Ap.LS) with exceptionally high levels of selectivity and activity from Agrocybe pediades, ideal for linalool bioprodn. It effectively converted glucose into enantiopure (R)-linalool in Escherichia coli, 44-fold and 287-fold more efficient than its bacterial and plant counterparts, resp. Phylogenetic anal. indicated the divergent evolution paths for plant, bacterial and fungal linalool synthases. More critically, structural comparison provided catalytic insights into Ap. LS superior specificity and activity, and mutational experiments validated the key residues responsible for the specificity.
Communications Biology published new progress about 78-70-6. 78-70-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C10H18O, Application In Synthesis of 78-70-6.
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