Evidence map›Paper›PMID 38780728›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

RNA Secondary Structure Modeling Following the IPANEMAP Workflow.

Delphine Allouche, Grégoire De Bisschop, Afaf Saaidi, Pierre Hardouin, Francois-Xavier Lyonnet du Moutier, Yann Ponty, Sargueil Bruno

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Animal virus-host interactions mediated by non-coding RNAs.Frontiers in cellular and infection microbiology · 2026
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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

7 authors.

Delphine AlloucheCiTCOM, Cibles Thérapeutiques et conception de médicaments, UMR8038 CNRS, Université de PARIS, Paris, France.
Grégoire De BisschopCiTCOM, Cibles Thérapeutiques et conception de médicaments, UMR8038 CNRS, Université de PARIS, Paris, France.
Afaf SaaidiGeorgia Institute of Technology, School of Mathematics, Atlanta, GA, USA.
Pierre HardouinCiTCOM, Cibles Thérapeutiques et conception de médicaments, UMR8038 CNRS, Université de PARIS, Paris, France.
Francois-Xavier Lyonnet du MoutierCiTCOM, Cibles Thérapeutiques et conception de médicaments, UMR8038 CNRS, Université de PARIS, Paris, France.
Yann PontyCNRS UMR 7161, LIX, Ecole Polytechnique, Palaiseau, France. yann.ponty@lix.polytechnique.fr.
Sargueil BrunoCiTCOM, Cibles Thérapeutiques et conception de médicaments, UMR8038 CNRS, Université de PARIS, Paris, France. bruno.sargueil@parisdescartes.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structure of RNA molecules and their complexes are crucial for understanding biology at the molecular level. Resolving these structures holds the key to understanding their manifold structure-mediated functions ranging from regulating gene expression to catalyzing biochemical processes. Predicting RNA secondary structure is a prerequisite and a key step to accurately model their three dimensional structure. Although dedicated modelling software are making fast and significant progresses, predicting an accurate secondary structure from the sequence remains a challenge. Their performance can be significantly improved by the incorporation of experimental RNA structure probing data. Many different chemical and enzymatic probes have been developed; however, only one set of quantitative data can be incorporated as constraints for computer-assisted modelling. IPANEMAP is a recent workflow based on RNAfold that can take into account several quantitative or qualitative data sets to model RNA secondary structure. This chapter details the methods for popular chemical probing (DMS, CMCT, SHAPE-CE, and SHAPE-Map) and the subsequent analysis and structure prediction using IPANEMAP.

Indexed as

Models, MolecularNucleic Acid ConformationRNASoftwareWorkflowComputational BiologyRNAChemical probingIPANEMAPRNAfoldRNA structure predictionSecondary structure

Identifiers

PMID38780728

What Socratic holds

Textmetadata
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 Socratic graph.