Evidence map›Paper›PMID 19521654›Full record

ArticleThe Journal of membrane biology2009

Strong correlation between statistical transmembrane tendency and experimental hydrophobicity scales for identification of transmembrane helices.

Gang Zhao, Erwin London

Abstract read
PubMed Publisher
In one paragraph

Article in The Journal of membrane biology, 2009. 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
0.1field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Life at the border: adaptation of proteins to anisotropic membrane environment.Protein science : a publication of the Protein Society · 2014
    Review
  4. 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 at 1 institution in 1 country.

Gang ZhaoDepartment of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY, 11794-5215, USA.
Erwin London
Stony Brook University · US

Funding

HIGH-RESOLUTION MEMBRANE STRUCTURE FROM FLUORESCENCER01GM048596 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI LONDON, ERWIN · 1993 to 2009
$2.1M
NIGMS NIH HHS GM48596
6 · The paper itself

Abstract

Direct physical chemistry measurements of the hydrophobicity of amino acids or their derivatives have often been used to estimate the propensity of amino acids to participate in transmembrane helices. In this short note, it is found that there is a very high degree of correlation (r = 0.944-0.965) between an average physical chemistry hydrophobicity scale (an average of scales derived, e.g., from the solubility of amino acid derivatives in organic solvents versus water or their binding to hydrophobic particles) and the statistically based transmembrane tendency scale (derived from the relative abundance of residues in known transmembrane and soluble protein sequences (Zhao and London, Protein Sci 15:1987-2001, 2006)). This correlation indicates that, other than hydrophobicity, amino acid properties/interactions that promote or inhibit transmembrane helix formation in a specific membrane protein largely cancel out when averaged over all transmembrane sequences. In other words, other than hydrophobicity, there are no properties of a specific amino acid residue within a hydrophobic segment that have a strong systematic effect upon transmembrane helix formation independent of the remainder of the sequence in that hydrophobic segment. However, proline is an exception to this rule.

Indexed as

Hydrophobic and Hydrophilic InteractionsMembrane ProteinsProtein Structure, SecondaryMembrane Proteins

Identifiers

PMID19521654
OpenAlexW2040703901

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.