Evidence map›Paper›PMID 39035102›Full record

ArticleIn silico pharmacology2024

Antibacterial activities, PASS prediction and ADME analysis of phytochemicals from

Misbaudeen Abdul-Hammed, Ibrahim Olaide Adedotun, Modinat Wuraola Akinboade, Timilehin Adekunle Adegboyega, Oladele Muheez Salaudeen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in In silico pharmacology, 2024. 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

5 authors.

Misbaudeen Abdul-HammedComputational Biophysical Chemistry Laboratory, Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria.
Ibrahim Olaide AdedotunComputational Biophysical Chemistry Laboratory, Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria.
Modinat Wuraola AkinboadeDepartment of Biochemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria.
Timilehin Adekunle AdegboyegaDepartment of Chemistry, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061 USA.
Oladele Muheez SalaudeenComputational Biophysical Chemistry Laboratory, Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial infection management and treatment are crucial as a result of the prevalent antimicrobial resistance issue. Progressive studies are being carried out on how to develop drugs that can mitigate the resistance trends of these microorganisms. Secondary metabolites of plants can also be employed and accessed for this role, as the current study examines the antibacterial activities of phytochemicals from three (3) plants (

Indexed as

AntibacterialAntimicrobial resistanceDNA gyraseMolecular dockingMolecular dynamics simulationPenicillin binding protein 3

Identifiers

PMID39035102
PMCPMC11254879

What Socratic 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 Socratic graph.