Evidence map›Paper›PMID 26987712›Full record

ArticleScientific reports2016

Biological insertion of computationally designed short transmembrane segments.

Carlos Baeza-Delgado, Gunnar von Heijne, Marc A Marti-Renom, Ismael Mingarro

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. 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
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Folding and Insertion of Transmembrane Helices at the ER.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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 3 institutions in 2 countries.

Carlos Baeza-DelgadoDepartament de Bioquímica i Biologia Molecular, ERI BioTecMed, Universitat de València. E-46100 Burjassot, Spain.
Gunnar von HeijneDept. of Biochemistry and Biophysics and Science for Life Laboratory, Stockholm University, 10691 Stockholm, Sweden.
Marc A Marti-RenomCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain.
Ismael MingarroDepartament de Bioquímica i Biologia Molecular, ERI BioTecMed, Universitat de València. E-46100 Burjassot, Spain.
Universitat de València · ESInstitució Catalana de Recerca i Estudis Avançats · ESScience for Life Laboratory · SE

Funding

European Research Council 232648
6 · The paper itself

Abstract

The great majority of helical membrane proteins are inserted co-translationally into the ER membrane through a continuous ribosome-translocon channel. The efficiency of membrane insertion depends on transmembrane (TM) helix amino acid composition, the helix length and the position of the amino acids within the helix. In this work, we conducted a computational analysis of the composition and location of amino acids in transmembrane helices found in membrane proteins of known structure to obtain an extensive set of designed polypeptide segments with naturally occurring amino acid distributions. Then, using an in vitro translation system in the presence of biological membranes, we experimentally validated our predictions by analyzing its membrane integration capacity. Coupled with known strategies to control membrane protein topology, these findings may pave the way to de novo membrane protein design.

Indexed as

Amino Acid SequenceCell MembraneComputational BiologyEndoplasmic ReticulumMembrane ProteinsModels, MolecularPeptidesProtein Structure, SecondaryMembrane ProteinsPeptides

Identifiers

PMID26987712
PMCPMC4796907
OpenAlexW2320737177

What OpenQuestion holds

Textmetadata
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.