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Multiscale methods for computational RNA enzymology

Maria T. Panteva, Thakshila Dissanayake, Haoyuan Chen, Brian K. Radak, Erich R. Kuechler, George M. Giambasu, Tai-Sung Lee, Darrin M. York
Methods Enzymol. (2015) 14, 335-374
DOI: 10.1016/bs.mie.2014.10.064
PMCID: PMC4739856

RNA catalysis is of fundamental importance to biology and yet remains ill-understood due to its complex nature. The multidimensional “problem space” of RNA catalysis includes both local and global conformational rearrangements, changes in the ion atmosphere around nucleic acids and metal ion binding, dependence on potentially correlated protonation states of key residues, and bond breaking/forming in the chemical steps of the reaction. The goal of this chapter is to summarize and apply multiscale modeling methods in an effort to target the different parts of the RNA catalysis problem space while also addressing the limitations and pitfalls of these methods. Classical molecular dynamics simulations, reference interaction site model calculations, constant pH molecular dynamics (CpHMD) simulations, Hamiltonian replica exchange molecular dynamics, and quantum mechanical/molecular mechanical simulations will be discussed in the context of the study of RNA backbone cleavage transesterification. This reaction is catalyzed by both RNA and protein enzymes, and here we examine the different mechanistic strategies taken by the hepatitis delta virus ribozyme and RNase A.

Research Areas: Quantum Biophysics

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