Evidence map›Paper›PMID 24809503›Full record

ArticlePLoS computational biology2014

Synonymous constraint elements show a tendency to encode intrinsically disordered protein segments.

Mauricio Macossay-Castillo, Simone Kosol, Peter Tompa, Rita Pancsa

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

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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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Integrated structural and evolutionary analysis reveals common mechanisms underlying adaptive evolution in mammals.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

4 authors at 3 institutions in 2 countries.

Mauricio Macossay-CastilloVlaams Instituut voor Biotechnologie (VIB) Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium.
Simone KosolVlaams Instituut voor Biotechnologie (VIB) Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium.
Peter TompaVlaams Instituut voor Biotechnologie (VIB) Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium; Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.
Rita PancsaVlaams Instituut voor Biotechnologie (VIB) Department of Structural Biology, Vrije Universiteit Brussel, Brussels, Belgium.
Vrije Universiteit Brussel · BEHungarian Academy of Sciences · HUVlaams Instituut voor Biotechnologie · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synonymous constraint elements (SCEs) are protein-coding genomic regions with very low synonymous mutation rates believed to carry additional, overlapping functions. Thousands of such potentially multi-functional elements were recently discovered by analyzing the levels and patterns of evolutionary conservation in human coding exons. These elements provide a good opportunity to improve our understanding of how the redundant nature of the genetic code is exploited in the cell. Our premise is that the protein segments encoded by such elements might better comply with the increased functional demands if they are structurally less constrained (i.e. intrinsically disordered). To test this idea, we investigated the protein segments encoded by SCEs with computational tools to describe the underlying structural properties. In addition to SCEs, we examined the level of disorder, secondary structure, and sequence complexity of protein regions overlapping with experimentally validated splice regulatory sites. We show that multi-functional gene regions translate into protein segments that are significantly enriched in structural disorder and compositional bias, while they are depleted in secondary structure and domain annotations compared to reference segments of similar lengths. This tendency suggests that relaxed protein structural constraints provide an advantage when accommodating multiple overlapping functions in coding regions.

Indexed as

Models, ChemicalModels, GeneticModels, MolecularAmino Acid SequenceBase SequenceComputer SimulationHumansIntrinsically Disordered ProteinsMolecular Sequence DataOpen Reading FramesStructure-Activity RelationshipIntrinsically Disordered Proteins

Identifiers

PMID24809503
PMCPMC4014394
OpenAlexW2018266037

What OpenQuestion holds

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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.