Evidence map›Paper›PMID 28516017›Full record

ArticleIntrinsically disordered proteins

Distribution and cluster analysis of predicted intrinsically disordered protein Pfam domains.

Robert W Williams, Bin Xue, Vladimir N Uversky, A Keith Dunker

Open access · bronzeAbstract read
In one paragraph

Article in Intrinsically disordered proteins. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Intrinsic Disorder in the Human Tear Proteome.Investigative ophthalmology & visual science · 2023
    Article
  2. Article
  3. Article
  4. Intrinsically disordered domains: Sequence ➔ disorder ➔ function relationships.Protein science : a publication of the Protein Society · 2019
    Article
  5. Article
  6. Article
  7. 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 4 institutions in 3 countries.

Robert W WilliamsDepartment of Biomedical Informatics; Uniformed Services University; Bethesda, MD USA.
Bin XueCenter for Computational Biology and Bioinformatics; Indiana School of Medicine; Indianapolis, IN USA.
Vladimir N UverskyCenter for Computational Biology and Bioinformatics; Indiana School of Medicine; Indianapolis, IN USA.
A Keith DunkerCenter for Computational Biology and Bioinformatics; Indiana School of Medicine; Indianapolis, IN USA.
Indiana University – Purdue University Indianapolis · USUnifor · NOUniversity of South Florida · USUniversity of Tampa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pfam database groups regions of proteins by how well hidden Markov models (HMMs) can be trained to recognize similarities among them. Conservation pressure is probably in play here. The Pfam seed training set includes sequence and structure information, being drawn largely from the PDB. A long standing hypothesis among intrinsically disordered protein (IDP) investigators has held that conservation pressures are also at play in the evolution of different kinds of intrinsic disorder, but we find that predicted intrinsic disorder (PID) is not always conserved across Pfam domains. Here we analyze distributions and clusters of PID regions in 193024 members of the version 23.0 Pfam seed database. To include the maximum information available for proteins that remain unfolded in solution, we employ the 10 linearly independent Kidera factors

Indexed as

ANFBAPCAPOC1archaeaATTYBAALCbacteriaBRCA2cancerClusterDBND1diabetesdisorderedDSS1eukaryotaHNF1AintrinsicallyKideraLZTS2mammalsMYBBNFMPfamphylogeneticPONDRPPR1AproteinTR13Cunfoldedviruses

Identifiers

PMID28516017
PMCPMC5424788
OpenAlexW2072336687

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.