Evidence map›Paper›PMID 35852123›Full record

ArticleJournal of integrative bioinformatics2022

A hybrid of Bees algorithm and regulatory on/off minimization for optimizing lactate and succinate production.

Mohd Izzat Yong, Mohd Saberi Mohamad, Yee Wen Choon, Weng Howe Chan, Hasyiya Karimah Adli, Khairul Nizar Syazwan Wsw, Nooraini Yusoff, Muhammad Akmal Remli

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of integrative bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 2 countries.

Mohd Izzat YongArtificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor, Malaysia.
Mohd Saberi MohamadHealth Data Science Lab Department of Genetics and Genomics,College of Medical and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, United Arab Emirates.
Yee Wen ChoonInstitute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, 16100, Kelantan, Malaysia.
Weng Howe ChanArtificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor, Malaysia.
Hasyiya Karimah AdliInstitute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, 16100, Kelantan, Malaysia.
Khairul Nizar Syazwan WswInstitute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, 16100, Kelantan, Malaysia.
Nooraini YusoffInstitute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, 16100, Kelantan, Malaysia.
Muhammad Akmal RemliInstitute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, Kota Bharu, 16100, Kelantan, Malaysia.
Universiti Malaysia Kelantan · MYUniversity of Technology Malaysia · MYUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic engineering has expanded in importance and employment in recent years and is now extensively applied particularly in the production of biomass from microbes. Metabolic network models have been employed extravagantly in computational processes developed to enhance metabolic production and suggest changes in organisms. The crucial issue has been the unrealistic flux distribution presented in prior work on rational modelling framework adopting Optknock and OptGene. In order to address the problem, a hybrid of Bees Algorithm and Regulatory On/Off Minimization (BAROOM) is used. By employing

Indexed as

Escherichia coliSuccinic AcidAlgorithmsLactic AcidMetabolic EngineeringMetabolic Networks and PathwaysModels, BiologicalLactic AcidSuccinic Acidartificial intelligencebioinformaticsdata sciencemetabolic engineeringmodellingoptimization

Identifiers

PMID35852123
PMCPMC9521821
OpenAlexW4285794542

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.