Evidence map›Paper›PMID 12560506›Full record

ArticleNucleic acids research2003

Biopolymer Chain Elasticity: A novel concept and a least deformation energy principle predicts backbone and overall folding of DNA TTT hairpins in agreement with NMR distances.

Christophe Pakleza, Jean A H Cognet

Abstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2003. 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

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

5 citing papers in PubMed.

  1. Article
  2. A new way to see RNA.Quarterly reviews of biophysics · 2011
    Article
  3. Article
  4. Model for DNA hairpin denaturation.The European physical journal. E, Soft matter · 2005
    Article
  5. 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

2 authors.

Christophe PaklezaLaboratoire de Physico-chimie Biomoléculaire et Cellulaire, UMR 7033 CNRS, T22-12, Université Pierre et Marie Curie, 4 place Jussieu, 75252 Paris cedex 05, France.
Jean A H Cognet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new molecular modelling methodology is presented and shown to apply to all published solution structures of DNA hairpins with TTT in the loop. It is based on the theory of elasticity of thin rods and on the assumption that single-stranded B-DNA behaves as a continuous, unshearable, unstretchable and flexible thin rod. It requires four construction steps: (i) computation of the tri-dimensional trajectory of the elastic line, (ii) global deformation of single-stranded helical DNA onto the elastic line, (iii) optimisation of the nucleoside rotations about the elastic line, (iv) energy minimisation to restore backbone bond lengths and bond angles. This theoretical approach called 'Biopolymer Chain Elasticity' (BCE) is capable of reproducing the tri-dimensional course of the sugar-phosphate chain and, using NMR-derived distances, of reproducing models close to published solution structures. This is shown by computing three different types of distance criteria. The natural description provided by the elastic line and by the new parameter, Omega, which corresponds to the rotation angles of nucleosides about the elastic line, offers a considerable simplification of molecular modelling of hairpin loops. They can be varied independently from each other, since the global shape of the hairpin loop is preserved in all cases.

Indexed as

Models, MolecularBiopolymersDNADNA, Single-StrandedElasticityModels, TheoreticalMolecular StructureNuclear Magnetic Resonance, BiomolecularNucleic Acid ConformationNucleosidesRNARotationThymineBiopolymersDNADNA, Single-StrandedNucleosidesRNAThymine

Identifiers

PMID12560506
PMCPMC149214

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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.