Evidence map›Paper›PMID 37589572›Full record

ArticleBioinformatics (Oxford, England)2023

TranSyT, an innovative framework for identifying transport systems.

Emanuel Cunha, Davide Lagoa, José P Faria, Filipe Liu, Christopher S Henry, Oscar Dias

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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    Review
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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

6 authors at 2 institutions in 2 countries.

Emanuel CunhaCentre of Biological Engineering, University of Minho, Braga 4704-553, Portugal.
Davide LagoaCentre of Biological Engineering, University of Minho, Braga 4704-553, Portugal.
José P FariaComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, United States.
Filipe LiuComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, United States.
Christopher S HenryComputing, Environment, and Life Sciences Division, Argonne National Laboratory, Lemont, IL 60439, United States.
Oscar DiasCentre of Biological Engineering, University of Minho, Braga 4704-553, Portugal.ORCID 0000-0002-1765-7178
Argonne National Laboratory · USUniversity of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationThe importance and rate of development of genome-scale metabolic models have been growing for the last few years, increasing the demand for software solutions that automate several steps of this process. However, since TRIAGE's release, software development for the automatic integration of transport reactions into models has stalled.

resultsHere, we present the Transport Systems Tracker (TranSyT). Unlike other transport systems annotation software, TranSyT does not rely on manual curation to expand its internal database, which is derived from highly curated records retrieved from the Transporters Classification Database and complemented with information from other data sources. TranSyT compiles information regarding transporter families and proteins, and derives reactions into its internal database, making it available for rapid annotation of complete genomes. All transport reactions have GPR associations and can be exported with identifiers from four different metabolite databases. TranSyT is currently available as a plugin for merlin v4.0 and an app for KBase. AVAILABILITY AND IMPLEMENTATION: TranSyT web service: https://transyt.bio.di.uminho.pt/; GitHub for the tool: https://github.com/BioSystemsUM/transyt; GitHub with examples and instructions to run TranSyT: https://github.com/ecunha1996/transyt_paper.

Indexed as

SoftwareDatabases, Factual

Identifiers

PMID37589572
PMCPMC10444967
OpenAlexW4385898770

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.