Computational evaluation of the binding of activated ribonucleotides in nonenzymatic RNA template copying

30 October 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Nonenzymatic self-replication is considered as one of the most primordial functions of RNA, which likely preceded the emergence of more complex ribozymes. Among different possible scenarios, nucleotide activation with imidazole derivatives attracted substantial attention over the last years. However, despite the progress in proposing plausible variants of nonezymatic RNA template copying with phosphoroimidazolides, mechanistic aspects of this process still remain obscure. Furthermore, efficient RNA self-replication involving activated uridine and adenosine still remains a challenge. Here, we employed classical molecular dynamics simulations to evaluate the binding specificity of different imidazolium-bridged dinucleotide intermediates, which was suggested to control the yield and fidelity of the reaction. In particular, RMSD-based clustering of the MD trajectories revealed previously unknown structural arrangements of activated dinucleotide indermediates that may play a critical role in non-enzymatic primer extension. Most importantly, our results indicate that yield and fidelity of nonenzymatic RNA template copying cannot be simply associated with the number of Watson-Crick hydrogen bonds between the activated dinucleotides and the templating strand. Instead, efficiency of the reaction correlates with the preference for the formation of canonically stacked form of the activated dinucleotide intermediate, which can then selectively bind to the template and participate in the primer extension reaction.

Keywords

RNA
Molecular Dynamics
Self-replication
Primer Extension
Prebiotic Chemistry

Supplementary materials

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Description
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Title
Supporting information for Computational evaluation of the binding of activated ribonucleotides in nonenzymatic RNA template copying}
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All RMSD-based clustering results and global analysis plots for all systems, along with the parametrization protocol for non-canonical structures used in this paper.
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Structures and data from global analysis
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Results of RMSD-based clustering in the form of PDB files, along with CSV files containing data for the global analysis.
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Paramteres for non-canonical residues
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Prep and frcmod files for non-canoncial residues required for MD simulations
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