ru-66647 and cladinose

Regulation of gene expression in response to the changing environment is critical for cell survival. For instance, binding of macrolide antibiotics to the ribosome promotes translation arrest at the leader open reading frames ermCL and ermBL, which is necessary for inducing the antibiotic resistance genes ermC and ermB. Cladinose-containing macrolides such as erythromycin (ERY), but not ketolides such as telithromycin (TEL), arrest translation of ermCL, whereas either ERY or TEL stall ermBL translation. How the ribosome distinguishes between chemically similar small molecules is unknown. We show that single amino acid changes in the leader peptide switch the specificity of recognition of distinct molecules, triggering gene activation in response to ERY alone, to TEL alone or to both antibiotics or preventing stalling altogether. Thus, the ribosomal response to chemical signals can be modulated by minute changes in the nascent peptide, suggesting that protein sequences could have been optimized for rendering translation sensitive to environmental cues.

Topics: Amino Acids; Anti-Bacterial Agents; Erythromycin; Gene Expression Regulation; Hexoses; Ketolides; Methyltransferases; Peptides; Protein Biosynthesis; Ribosomes; Substrate Specificity; Transcriptional Activation

Macrolides are an important class of antibiotics that target the bacterial ribosome. Computer simulations of macrolides are limited as specific force field parameters have not been previously developed for them. Here, we determine CHARMM-compatible force field parameters for erythromycin, azithromycin, and telithromycin, using the force field toolkit (ffTK) plugin in VMD. Because of their large size, novel approaches for parametrizing them had to be developed. Two methods for determining partial atomic charges, from interactions with TIP3P water and from the electrostatic potential, as well as several approaches for fitting the dihedral parameters were tested. The performance of the different parameter sets was evaluated by molecular dynamics simulations of the macrolides in ribosome, with a distinct improvement in maintenance of key interactions observed after refinement of the initial parameters. Based on the results of the macrolide tests, recommended procedures for parametrizing very large molecules using ffTK are given.

Topics: Algorithms; Amino Sugars; Anti-Bacterial Agents; Azithromycin; Binding Sites; Erythromycin; Escherichia coli; Hexoses; Ketolides; Macrolides; Molecular Dynamics Simulation; Ribosomes; Static Electricity; Thermodynamics; Thermus thermophilus; Water