Evidence map›Paper›PMID 30401873›Full record

ArticleScientific reports2018

Metabolic pathways synthesis based on ant colony optimization.

Matias F Gerard, Georgina Stegmayer, Diego H Milone

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Matias F GerardResearch Institute for Signals, Systems and Computational Intelligence (sınc(i)), FICH-UNL/CONICET, Ciudad Universitaria UNL, (S3000), Santa Fe, Argentina. mgerard@sinc.unl.edu.ar.
Georgina StegmayerResearch Institute for Signals, Systems and Computational Intelligence (sınc(i)), FICH-UNL/CONICET, Ciudad Universitaria UNL, (S3000), Santa Fe, Argentina.
Diego H MiloneResearch Institute for Signals, Systems and Computational Intelligence (sınc(i)), FICH-UNL/CONICET, Ciudad Universitaria UNL, (S3000), Santa Fe, Argentina.ORCID http://orcid.org/0000-0003-2182-4351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the current challenges in bioinformatics is to discover new ways to transform a set of compounds into specific products. The usual approach is finding the reactions to synthesize a particular product, from a given substrate, by means of classical searching algorithms. However, they have three main limitations: difficulty in handling large amounts of reactions and compounds; absence of a step that verifies the availability of substrates; and inability to find branched pathways. We present here a novel bio-inspired algorithm for synthesizing linear and branched metabolic pathways. It allows relating several compounds simultaneously, ensuring the availability of substrates for every reaction in the solution. Comparisons with classical searching algorithms and other recent metaheuristic approaches show clear advantages of this proposal, fully recovering well-known pathways. Furthermore, solutions found can be analyzed in a simple way through graphical representations on the web.

Indexed as

Metabolic Networks and PathwaysAlgorithmsAnimalsAntsBehavior, AnimalFeasibility StudiesMetabolomics

Identifiers

PMID30401873
PMCPMC6219534

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.