Evidence map›Paper›PMID 24992992›Full record

ArticleJournal of molecular microbiology and biotechnology2014

Reliability of nine programs of topological predictions and their application to integral membrane channel and carrier proteins.

Abhinay Reddy, Jaehoon Cho, Sam Ling, Vamsee Reddy, Maksim Shlykov, Milton H Saier

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of molecular microbiology and biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Applied and environmental microbiology · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Characterization of the Tetraspan Junctional Complex (4JC) superfamily.Biochimica et biophysica acta. Biomembranes · 2017
    Article
  11. Article
  12. The human transmembrane proteome.Biology direct · 2015
    Article
  13. 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

6 authors.

Abhinay ReddyDepartment of Molecular Biology, University of California at San Diego, La Jolla, Calif., USA.
Jaehoon Cho
Sam Ling
Vamsee Reddy
Maksim Shlykov
Milton H Saier

Funding

TransportPDB: Center for the X-ray Structure Determination of Human TransportersU54GM094610 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI SAIER, MILTON H. · 2010 to 2014
$12.2M
The Transporter Classification Database (TCDB)R01GM077402 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAIER, MILTON H. · 2006 to 2021
$4.7M
NIGMS NIH HHS GM077402NIGMS NIH HHS R01 GM077402NIGMS NIH HHS U54 GM094610
6 · The paper itself

Abstract

We evaluated topological predictions for nine different programs, HMMTOP, TMHMM, SVMTOP, DAS, SOSUI, TOPCONS, PHOBIUS, MEMSAT-SVM (hereinafter referred to as MEMSAT), and SPOCTOPUS. These programs were first evaluated using four large topologically well-defined families of secondary transporters, and the three best programs were further evaluated using topologically more diverse families of channels and carriers. In the initial studies, the order of accuracy was: SPOCTOPUS > MEMSAT > HMMTOP > TOPCONS > PHOBIUS > TMHMM > SVMTOP > DAS > SOSUI. Some families, such as the Sugar Porter Family (2.A.1.1) of the Major Facilitator Superfamily (MFS; TC #2.A.1) and the Amino Acid/Polyamine/Organocation (APC) Family (TC #2.A.3), were correctly predicted with high accuracy while others, such as the Mitochondrial Carrier (MC) (TC #2.A.29) and the K(+) transporter (Trk) families (TC #2.A.38), were predicted with much lower accuracy. For small, topologically homogeneous families, SPOCTOPUS and MEMSAT were generally most reliable, while with large, more diverse superfamilies, HMMTOP often proved to have the greatest prediction accuracy. We next developed a novel program, TM-STATS, that tabulates HMMTOP, SPOCTOPUS or MEMSAT-based topological predictions for any subdivision (class, subclass, superfamily, family, subfamily, or any combination of these) of the Transporter Classification Database (TCDB; www.tcdb.org) and examined the following subclasses: α-type channel proteins (TC subclasses 1.A and 1.E), secreted pore-forming toxins (TC subclass 1.C) and secondary carriers (subclass 2.A). Histograms were generated for each of these subclasses, and the results were analyzed according to subclass, family and protein. The results provide an update of topological predictions for integral membrane transport proteins as well as guides for the development of more reliable topological prediction programs, taking family-specific characteristics into account.

Indexed as

SoftwareCarrier ProteinsComputational BiologyIon ChannelsCarrier ProteinsIon Channels

Identifiers

PMID24992992
PMCPMC4125430

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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.