Published
October 29, 2024
Author(s)
Olivia Love, Rodrigo Galindo-Murillo, Daniel Roe, Pablo D. Dans, Thomas E. Cheatham III, Christina Bergonzo
Abstract
Modified nucleic acids have surged as a popular therapeutic route, emphasizing the importance of nucleic acid research in drug discovery and development. Beyond well-known RNA vaccines, antisense oligonucleotides and aptamers can incorporate various modified nucleic acids to target specific biomolecules for various therapeutic activities. Molecular dynamics simulations can accelerate the design and development of these systems with noncanonical nucleic acids by observing intricate dynamic properties and relative stability on the all-atom level. However, modeling these modified systems is challenging due to the time and resources required to parameterize components outside default force field parameters. Here, we present modXNA, a tool to derive and build modified nucleotides for use with Amber force fields. Several nucleic acid systems varying in size and number of modification sites were used to evaluate the accuracy of modXNA parameters, and results indicate the dynamics and structure are preserved throughout the simulations. We detail the protocol for quantum mechanic charge derivation and describe a workflow for implementing modXNA in Amber molecular dynamics simulations, which includes updates and added features to CPPTRAJ.
Citation
Journal of Chemical Theory and Computation
Keywords
RNA, molecular dynamics, force field, parameterization
Citation
Love, O. , Galindo-Murillo, R. , Roe, D. , Dans, P. , Cheatham III, T. and Bergonzo, C. (2024), modXNA: a modular approach to parameterization of modified nucleic acids for use with Amber force fields, Journal of Chemical Theory and Computation, [online], https://doi.org/10.1021/acs.jctc.4c01164?ref=PDF, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=958346 (Accessed October 30, 2024)
Additional citation formats
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].