Evidence map›Paper›PMID 42569261›Full record

ReviewFrontiers in bioinformatics2026

Rohan Gupta, Pallavi Singh, Karthikeyan Ravi, Mosleh Mohammad Abomughaid, Sorabh Lakhanpal, Ravi Sharma, Naveen Kumar, Niraj Kumar Jha

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in bioinformatics, 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.

Rohan GuptaDepartment of Biotechnology and Bioengineering, School of Biosciences and Technology, Galgotias University, Greater Noida, Uttar Pradesh, India.
Pallavi SinghDepartment of Biotechnology, Graphic Era Deemed to Be University, Dehradun Uttarakhand, India.
Karthikeyan RaviCentre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India.
Mosleh Mohammad AbomughaidDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha, Saudi Arabia.
Sorabh LakhanpalSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.
Ravi SharmaSchool of Pharmacy, Sharda University, Greater Noida, Uttar Pradesh, India.
Naveen KumarDepartment of Physics, School of Basic and Applied Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Niraj Kumar JhaDepartment of Biotechnology and Bioengineering, School of Biosciences and Technology, Galgotias University, Greater Noida, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is currently one of the leading global health threats. The evolution of drug-resistant bacterial pathogens is rapid, and there is a growing number of bacterial pathogens that have developed resistance to multiple antibiotics, and the rate at which new antibiotics are being developed is lagging far behind these two issues. In addition, historical drug discovery processes rely on conducting traditional

Indexed as

antibiotic resistancegenomic target identificationin silico drug discoverymachine learningsystems biologysystems pharmacologyvirtual screening

Identifiers

PMID42569261
PMCPMC13449674

What Socratic 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 Socratic graph.