Evidence map›Paper›PMID 40770471›Full record

ReviewCurrent pharmaceutical design2026

Antimicrobial Resistance: Enzymes, Proteins, and Computational Resources.

Saurav Kumar Mishra, Kanchan Sharma, John J Georrge

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical design, 2026. 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

3 authors.

Saurav Kumar MishraDepartment of Bioinformatics, University of North Bengal, District-Darjeeling, Siliguri, 734013, West Bengal, India.
Kanchan SharmaDepartment of Bioinformatics, University of North Bengal, District-Darjeeling, Siliguri, 734013, West Bengal, India.
John J GeorrgeDepartment of Bioinformatics, University of North Bengal, District-Darjeeling, Siliguri, 734013, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is an important health concern rooted in antibiotic misuse and overuse, resulting in drug-resistant bacteria. However, resistance to these antimicrobials developed as soon as they were administered. Several variables lead to the progression of antimicrobial resistance (AMR), making it a multifaceted challenge for healthcare systems worldwide, such as erroneous diagnosis, inappropriate prescription, incomplete treatment, and many more. Getting an in-depth idea about the mechanism underlying AMR development is essential to overcome this. This review aims to provide information on how various enzymes or proteins aid in the antimicrobial resistance mechanisms and also highlight the clinical perspective of AMR, emphasizing its growing impact on patient outcomes, and incorporate the latest recent data from the World Health Organisation (WHO), underscoring the global urgency of the AMR crisis, with specific attention to trends observed in recent years. Additionally, it is intended to provide ideas about inhibitors that can inhibit the mechanism of antibiotic resistance and also to provide an idea about numerous computational resources available that can be employed to predict genes and/or proteins and enzymes involved in various antibiotic resistance mechanisms.

Indexed as

Anti-Bacterial AgentsBacteriaBacterial ProteinsComputational BiologyDrug Resistance, BacterialEnzymesHumansAnti-Bacterial AgentsBacterial ProteinsEnzymesantibiotic resistance inhibitorsAntimicrobial resistancedatabasesenzymesgenome.multidrug resistance

Identifiers

What OpenQuestion holds

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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.