Evidence map›Paper›PMID 35328093›Full record

ReviewGenes2022

Challenges with Simulating Modified RNA: Insights into Role and Reciprocity of Experimental and Computational Approaches.

Rebecca J D'Esposito, Christopher A Myers, Alan A Chen, Sweta Vangaveti

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Chemical Modifications in Nucleic Acid Therapeutics.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Article
  5. Article
  6. Tailor made: the art of therapeutic mRNA design.Nature reviews. Drug discovery · 2024
    Review
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

4 authors at 1 institution in 1 country.

Rebecca J D'EspositoDepartment of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA.
Christopher A MyersDepartment of Physics, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA.
Alan A ChenDepartment of Chemistry, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA.ORCID 0000-0001-8246-2935
Sweta VangavetiThe RNA Institute, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA.ORCID 0000-0002-2274-9544
Albany State University · US

Funding

Thermodynamically Calibrated RNA Simulations to Decode Mechanisms of RNAMolecular RecognitionR35GM133469 · NIGMS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI Alan Austin Chen · 2019 to 2026
$2.9M
NIGMS NIH HHS R35 GM133469
6 · The paper itself

Abstract

RNA is critical to a broad spectrum of biological and viral processes. This functional diversity is a result of their dynamic nature; the variety of three-dimensional structures that they can fold into; and a host of post-transcriptional chemical modifications. While there are many experimental techniques to study the structural dynamics of biomolecules, molecular dynamics simulations (MDS) play a significant role in complementing experimental data and providing mechanistic insights. The accuracy of the results obtained from MDS is determined by the underlying physical models i.e., the force-fields, that steer the simulations. Though RNA force-fields have received a lot of attention in the last decade, they still lag compared to their protein counterparts. The chemical diversity imparted by the RNA modifications adds another layer of complexity to an already challenging problem. Insight into the effect of RNA modifications upon RNA folding and dynamics is lacking due to the insufficiency or absence of relevant experimental data. This review provides an overview of the state of MDS of modified RNA, focusing on the challenges in parameterization of RNA modifications as well as insights into relevant reference experiments necessary for their calibration.

Indexed as

Molecular Dynamics SimulationRNAProteinsProteinsRNAmolecular dynamicsparameterizationRNARNA modifications

Identifiers

PMID35328093
PMCPMC8949676
OpenAlexW4221124819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.