Evidence map›Paper›PMID 42459391›Full record

ArticleAIMS microbiology2026

GCMS-based evaluation, characterization and in silico analysis of antimicrobial metabolites in the crude extract of cold-adapted

Imran Rabbani, Muhammad Rafiq, Suliman Shah, Tariq Ahmad, Muhammad Irfan, Aamer Ali Shah, Turki M Dawoud, Fariha Hasan

Abstract read
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In one paragraph

Article in AIMS microbiology, 2026. 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
–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

0 citing papers in PubMed.

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.

Imran RabbaniDepartment of Pharmacy, Kohat University of Science and Technology, Kohat, Pakistan.
Muhammad RafiqDepartment of Microbiology, Balochistan University of IT, Engineering and Management Sciences, Quetta, Pakistan.
Suliman ShahDepartment of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.
Tariq AhmadState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Muhammad IrfanASRT, Inc., Atlanta, Georgia, USA.
Aamer Ali ShahDepartment of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.
Turki M DawoudDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Fariha HasanDepartment of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antagonistic microorganisms from extreme environments have gained great attention from scientists due to increasing threat of global antimicrobial resistance. In this context, previously isolated cold-adapted isolate from Passu glacier

Indexed as

Alcaligenes pakistanensiscold-adaptedextreme environmentsGC-MSmolecular dockingpassu glacier

Identifiers

PMID42459391
PMCPMC13370262

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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.