Evidence map›Paper›PMID 27276250›Full record

ArticleBiophysical journal2016

Contact Statistics Highlight Distinct Organizing Principles of Proteins and RNA.

Lei Liu, Changbong Hyeon

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Amyloid-International journal of molecular sciences · 2023
    Article
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  13. Extruding Loops to Make Loopy Globules?Biophysical journal · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Lei LiuSchool of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea.
Changbong HyeonSchool of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea. Electronic address: hyeoncb@kias.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although both RNA and proteins have densely packed native structures, chain organizations of these two biopolymers are fundamentally different. Motivated by the recent discoveries in chromatin folding that interphase chromosomes have territorial organization with signatures pointing to metastability, we analyzed the biomolecular structures deposited in the Protein Data Bank and found that the intrachain contact probabilities, P(s) as a function of the arc length s, decay in power-law ∼s(-γ) over the intermediate range of s, 10 ≲ s ≲ 110. We found that the contact probability scaling exponent is γ ≈ 1.11 for large RNA (N > 110), γ ≈ 1.41 for small-sized RNA (N < 110), and γ ≈ 1.65 for proteins. Given that Gaussian statistics is expected for a fully equilibrated chain in polymer melts, the deviation of γ-value from γ = 1.5 for the subchains of large RNA in the native state suggests that the chain configuration of RNA is not fully equilibrated. It is visually clear that folded structures of large-sized RNA (N ≳ 110) adopt crumpled structures, partitioned into modular multidomains assembled by proximal sequences along the chain, whereas the polypeptide chain of folded proteins looks better mixed with the rest of the structure. Our finding of γ ≈ 1 for large RNA might be an ineluctable consequence of the hierarchical ordering of the secondary to tertiary elements in the folding process.

Indexed as

AlgorithmsDatabases, ProteinModels, GeneticModels, MolecularNucleic Acid ConformationProbabilityProtein FoldingProteinsProtein Structure, SecondaryProtein Structure, TertiaryRNASurface PropertiesProteinsRNA

Identifiers

PMID27276250
PMCPMC4906362

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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.