Multi-Scale Quantum Models for Ribozyme Catalysis

Rutgers, The State Univ Of N.J., New Brunswick NJ

Investigators

Linked publications & trials

Abstract

DESCRIPTION (provided by applicant): We propose a novel multiscale modeling strategy to study of the mechanisms of RNA catalysis and the factors that regulate reactivity. This is an application-driven proposal that develops a tiered approach to build up deep mechanistic insight into a series of RNA enzymes (ribozymes) of in- creasing complexity and biological relevance. An overarching theme in the proposal is to bridge the gap between theory and experiment and progress toward a consensus view of mechanism that may, ultimately, contribute to a deeper understanding of more complex cellular catalytic RNA systems. The parallel study of different catalytic RNA systems that employ alternate mechanistic strategies allows one to unveil the necessary and sufficient conditions that lead to catalysis. Identification of conserved mechanistic features as well as elements that may tolerate variation form the foundation from which guiding principles for ribozyme engineering may emerge. It is the hope that uncovering these principles will enable the rational design of new biomedical technology and facilitate discovery. The aims of the proposal are: 1) To gain a deeper understanding of the guiding principles that underpin catalysis through the study of a series of small self-cleaving ribozymes, 2) To investigate the mechanisms of catalysis and translational control in glmS and VS ribozymes, which offer new features and a second tier of RNA complexity. 3) To explore higher-order RNA structure and function in a tractable group I intron system: the Azoarcus ribozyme. These applications demand an innovative multiscale modeling strategy that combines several novel elements, including new combined quantum mechanical/molecular mechanical methods, improved molecular simulation force fields for sugar puckering and divalent ions, advanced computational techniques for sampling and analysis of free energy simulations, explicit solvent constant pH molecular dynamics simulations to study pH-rate profiles, and 3D-RISM calculations to probe the active site electrostatic environment and provide insight into possible metal ion binding sites. These innovations are further amplified by the integrated experimental/theoretical research strategy whereby significant effort is made to recapitulate primary experimental data to aid in interpretation of measurements, validate computational results and make experimentally testable predictions.