Evidence map›Paper›PMID 28228927›Full record

ReviewComputational and structural biotechnology journal2017

Computational Approaches for Revealing the Structure of Membrane Transporters: Case Study on Bilitranslocase.

Katja Venko, A Roy Choudhury, Marjana Novič

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Challenges of Protein-Protein Docking of the Membrane Proteins.Methods in molecular biology (Clifton, N.J.) · 2024
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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

3 authors at 1 institution in 1 country.

Katja VenkoDepartment of Cheminformatics, National Institute of Chemistry, Ljubljana, Slovenia.
A Roy ChoudhuryDepartment of Cheminformatics, National Institute of Chemistry, Ljubljana, Slovenia.
Marjana NovičDepartment of Cheminformatics, National Institute of Chemistry, Ljubljana, Slovenia.
National Institute of Chemistry · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structural and functional details of transmembrane proteins are vastly underexplored, mostly due to experimental difficulties regarding their solubility and stability. Currently, the majority of transmembrane protein structures are still unknown and this present a huge experimental and computational challenge. Nowadays, thanks to X-ray crystallography or NMR spectroscopy over 3000 structures of membrane proteins have been solved, among them only a few hundred unique ones. Due to the vast biological and pharmaceutical interest in the elucidation of the structure and the functional mechanisms of transmembrane proteins, several computational methods have been developed to overcome the experimental gap. If combined with experimental data the computational information enables rapid, low cost and successful predictions of the molecular structure of unsolved proteins. The reliability of the predictions depends on the availability and accuracy of experimental data associated with structural information. In this review, the following methods are proposed for

Indexed as

3D protein structureBilitranslocaseBTL, bilitranslocaseHelix–helix interactionsMembrane proteinsTM, transmembraneTransmembrane region predictors

Identifiers

PMID28228927
PMCPMC5312651
OpenAlexW2585597767

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.