Evidence map›Paper›PMID 16877712›Full record

ArticleProtein science : a publication of the Protein Society2006

An amino acid "transmembrane tendency" scale that approaches the theoretical limit to accuracy for prediction of transmembrane helices: relationship to biological hydrophobicity.

Gang Zhao, Erwin London

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Distinct modulation of calcium-activated chloride channel TMEM16A by drug-binding sites.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Deep learning of antibody epitopes using positional permutation vectors.Computational and structural biotechnology journal · 2024
    Article
  8. Article
  9. Article
  10. Structural Analysis of Breast-Milk αInternational journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

13 more citing papers are in PubMed but not listed here.

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.

Gang ZhaoDepartment of Biochemistry and Cell Biology, Stony Brook University, New York 11794-5215, USA.
Erwin London

Funding

DIPHTHERIA TOXIN STRUCTURE AND MEMBRANE INTERACTIONR01GM031986 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI LONDON, ERWIN · 1985 to 2006
$2.0M
NIGMS NIH HHS GM31986NIGMS NIH HHS R01 GM031986
6 · The paper itself

Abstract

Hydrophobicity analyses applied to databases of soluble and transmembrane (TM) proteins of known structure were used to resolve total genomic hydrophobicity profiles into (helical) TM sequences and mainly "subhydrophobic" soluble components. This information was used to define a refined "hydrophobicity"-type TM sequence prediction scale that should approach the theoretical limit of accuracy. The refinement procedure involved adjusting scale values to eliminate differences between the average amino acid composition of populations TM and soluble sequences of equal hydrophobicity, a required property of a scale having maximum accuracy. Application of this procedure to different hydrophobicity scales caused them to collapse to essentially a single TM tendency scale. As expected, when different scales were compared, the TM tendency scale was the most accurate at predicting TM sequences. It was especially highly correlated (r = 0.95) to the biological hydrophobicity scale, derived experimentally from the percent TM conformation formed by artificial sequences passing though the translocon. It was also found that resolution of total genomic sequence data into TM and soluble components could be used to define the percent probability that a sequence with a specific hydrophobicity value forms a TM segment. Application of the TM tendency scale to whole genomic data revealed an overlap of TM and soluble sequences in the "semihydrophobic" range. This raises the possibility that a significant number of proteins have sequences that can switch between TM and non-TM states. Such proteins may exist in moonlighting forms having properties very different from those of the predominant conformation.

Indexed as

Hydrophobic and Hydrophilic InteractionsAlgorithmsAmino AcidsDatabases, ProteinEscherichia coliGenome, BacterialGenome, FungalMembrane ProteinsProtein ConformationProtein Structure, SecondarySaccharomyces cerevisiaeSolubilityThermodynamicsAmino AcidsMembrane Proteins

Identifiers

PMID16877712
PMCPMC2242586

What OpenQuestion 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 OpenQuestion graph.