Evidence map›Paper›PMID 34205049›Full record

ReviewMolecules (Basel, Switzerland)2021

Role and Perspective of Molecular Simulation-Based Investigation of RNA-Ligand Interaction: From Small Molecules and Peptides to Photoswitchable RNA Binding.

Daria V Berdnikova, Paolo Carloni, Sybille Krauß, Giulia Rossetti

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 2 institutions in 1 country.

Daria V BerdnikovaDepartment of Chemistry-Biology, Organic Chemistry II, University of Siegen, Adolf-Reichwein-Str. 2, 57076 Siegen, Germany.ORCID 0000-0002-0787-5753
Paolo CarloniInstitute for Advanced Simulation (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany.ORCID 0000-0002-9010-0149
Sybille KraußInstitute of Biology (Human Biology/Neurobiology), University of Siegen, Adolf-Reichwein-Str. 2, 57076 Siegen, Germany.ORCID 0000-0002-2032-4630
Giulia RossettiInstitute for Advanced Simulation (IAS-5), Forschungszentrum Jülich, 52425 Jülich, Germany.
Forschungszentrum Jülich · DEUniversity of Siegen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant RNA-protein complexes are formed in a variety of diseases. Identifying the ligands that interfere with their formation is a valuable therapeutic strategy. Molecular simulation, validated against experimental data, has recently emerged as a powerful tool to predict both the pose and energetics of such ligands. Thus, the use of molecular simulation may provide insight into aberrant molecular interactions in diseases and, from a drug design perspective, may allow for the employment of less wet lab resources than traditional in vitro compound screening approaches. With regard to basic research questions, molecular simulation can support the understanding of the exact molecular interaction and binding mode. Here, we focus on examples targeting RNA-protein complexes in neurodegenerative diseases and viral infections. These examples illustrate that the strategy is rather general and could be applied to different pharmacologically relevant approaches. We close this study by outlining one of these approaches, namely the light-controllable association of small molecules with RNA, as an emerging approach in RNA-targeting therapy.

Indexed as

Drug DesignHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationPeptidesPhotochemical ProcessesProtein BindingRNARNA-Binding ProteinsSmall Molecule LibrariesLigandsPeptidesRNARNA-Binding ProteinsSmall Molecule Librarieslight-controllable associationmolecular dynamicsRNA–ligand interaction

Identifiers

PMID34205049
PMCPMC8199858
OpenAlexW3170686805

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.