Computational-Based Mechanistic Study and Engineering of Cytochrome P450 MycG for Selective Oxidation of 16-Membered Macrolide Antibiotics

Abstract

, which differ only by the presence of methoxy vs free hydroxyl groups on one of the macrolide sugar moieties. We utilized a two-pronged computational approach to study both the chemoselective reactivity and substrate specificity of MycG. Density functional theory computations determined that epoxidation of the substrate hampers its ability to undergo C-H abstraction, primarily due to a loss of hyperconjugation in the transition state. Metadynamics and molecular dynamics simulations revealed a hydrophobic sugar-binding pocket that is responsible for substrate recognition/specificity and was not apparent in crystal structures of the enzyme/substrate complex. Computational results also led to the identification of other interactions between the enzyme and its substrates that had not previously been observed in the cocrystal structures. Site-directed mutagenesis was then employed to test the effects of mutations hypothesized to broaden the substrate scope and alter the product profile of MycG. The results of these experiments validated this complementary effort to engineer MycG variants with improved catalytic activity toward earlier stage mycinamicin substrates.