Evidence map›Paper›PMID 19022853›Full record

ArticleNucleic acids research2009

The Transporter Classification Database: recent advances.

Milton H Saier, Ming Ren Yen, Keith Noto, Dorjee G Tamang, Charles Elkan

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers.

0numbers the graph read from it
0cells of the map it votes in
232citing 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

232 citing papers in PubMed.

  1. Review
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  7. Structural analysis of resistance-nodulation cell division transporters.Microbiology and molecular biology reviews : MMBR · 2024
    Review
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  18. Review
  19. Article
  20. Article

172 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

5 authors.

Milton H SaierDivision of Biological Sciences and Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA 92093-0116, USA. msaier@ucsd.edu
Ming Ren Yen
Keith Noto
Dorjee G Tamang
Charles Elkan

Funding

The Transporter Classification Database (TCDB)R01GM077402 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAIER, MILTON H. · 2006 to 2021
$4.7M
NIGMS NIH HHS GM1077402NIGMS NIH HHS R01 GM077402
6 · The paper itself

Abstract

The Transporter Classification Database (TCDB), freely accessible at http://www.tcdb.org, is a relational database containing sequence, structural, functional and evolutionary information about transport systems from a variety of living organisms, based on the International Union of Biochemistry and Molecular Biology-approved transporter classification (TC) system. It is a curated repository for factual information compiled largely from published references. It uses a functional/phylogenetic system of classification, and currently encompasses about 5000 representative transporters and putative transporters in more than 500 families. We here describe novel software designed to support and extend the usefulness of TCDB. Our recent efforts render it more user friendly, incorporate machine learning to input novel data in a semiautomatic fashion, and allow analyses that are more accurate and less time consuming. The availability of these tools has resulted in recognition of distant phylogenetic relationships and tremendous expansion of the information available to TCDB users.

Indexed as

Databases, ProteinArtificial IntelligenceMembrane Transport ProteinsPhylogenySequence Homology, Amino AcidMembrane Transport Proteins

Identifiers

PMID19022853
PMCPMC2686586

What OpenQuestion holds

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LicenceCC BY-NC
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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.