Evidence map›Paper›PMID 31662957›Full record

ArticleInternational journal of genomics2019

Computational Identification of Metabolic Pathways of

Jelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, Efosa Uwoghiren, Titilope Dokunmu, Solomon Rotimi, Oluwadurotimi Aworunse, Olawole Obembe, Ezekiel Adebiyi

Open access · goldAbstract read
In one paragraph

Article in International journal of genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Frontiers in bioinformatics · 2026
    Review
  3. Review
  4. Metabolic Fluxes Using Deep Learning Based on Enzyme Variations:International journal of molecular sciences · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
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

9 authors at 1 institution in 1 country.

Jelili OyeladeDepartment of Computer & Information Sciences, Covenant University, Ota, Nigeria.ORCID https://orcid.org/0000-0002-5476-4992
Itunuoluwa IsewonDepartment of Computer & Information Sciences, Covenant University, Ota, Nigeria.ORCID https://orcid.org/0000-0001-9653-8929
Olufemi AromolaranDepartment of Computer & Information Sciences, Covenant University, Ota, Nigeria.
Efosa UwoghirenDepartment of Computer & Information Sciences, Covenant University, Ota, Nigeria.ORCID https://orcid.org/0000-0002-6117-0981
Titilope DokunmuCovenant University Bioinformatics Research Cluster (CUBRe), Ota, Nigeria.ORCID https://orcid.org/0000-0002-8751-3436
Solomon RotimiCovenant University Bioinformatics Research Cluster (CUBRe), Ota, Nigeria.
Oluwadurotimi AworunseDepartment of Biological Sciences, Covenant University, Ota, Nigeria.
Olawole ObembeDepartment of Biological Sciences, Covenant University, Ota, Nigeria.ORCID https://orcid.org/0000-0002-0396-0483
Ezekiel AdebiyiDepartment of Computer & Information Sciences, Covenant University, Ota, Nigeria.
Covenant University · NG

Funding

WEST AFRICAN SUSTAINABLE LEADERSHIP AND INNOVATION TRAINING IN BIOINFORMATICS RESEARCH (WASLITBRe)U2RTW010679 · FIC · COVENANT UNIVERSITY · PI ADEBIYI, EZEKIEL FEMI, AMOAKO-YIRENKYI, PETER · 2017 to 2021
$1.4M
West African Center of Excellence for Global Health Bioinformatics Research TrainingU2RTW010673 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, LI, JIAN · 2017 to 2021
$1.2M
FIC NIH HHS U2R TW010673FIC NIH HHS U2R TW010679
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID31662957
PMCPMC6791207
OpenAlexW2978580969

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.