Evidence map›Paper›PMID 39468889›Full record

ArticleJournal of chemical theory and computation2024

modXNA: A Modular Approach to Parametrization of Modified Nucleic Acids for Use with Amber Force Fields.

Olivia Love, Rodrigo Galindo-Murillo, Daniel R Roe, Pablo D Dans, Thomas E Cheatham Iii, Christina Bergonzo

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olivia LoveDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah, 2000 East 30 South Skaggs 306, Salt Lake City, Utah 84112, United States.ORCID 0000-0002-7743-8495
Rodrigo Galindo-MurilloDepartment of Medicinal Chemistry, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, California 92010, United States.ORCID 0000-0001-5847-4143
Daniel R RoeLaboratory of Computational Biology, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States.ORCID 0000-0002-5834-2447
Pablo D DansComputational Biophysics Group, Department of Biological Sciences, CENUR Litoral Norte, Universidad de la República, Salto 50000, Uruguay.
Thomas E Cheatham IiiDepartment of Medicinal Chemistry, College of Pharmacy, University of Utah, 2000 East 30 South Skaggs 306, Salt Lake City, Utah 84112, United States.ORCID 0000-0003-0298-3904
Christina BergonzoInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology and the University of Maryland, 9600 Gudelsky Way, Rockville, Maryland 20850, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 parametrize 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 mechanics charge derivation and describe a workflow for implementing modXNA in Amber molecular dynamics simulations, which includes updates and added features to CPPTRAJ.

Indexed as

Molecular Dynamics SimulationNucleic AcidsQuantum TheoryNucleic Acid ConformationSoftwareNucleic Acids

Identifiers

PMID39468889
PMCPMC11562377

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.