ArticleIndian journal of microbiology2025
Comprehensive Genomic, Mutation, Phylogenetic, and Statistical Analysis of the Monkeypox Virus Across Multiple Countries.
Article in Indian journal of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- A deep learning approach for solving a fractional order Monkeypox transmission model using a harmonic neural network optimized with SGDM.Scientific reports · 2026Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our study offers a comprehensive Monkeypox virus (MPXV) analysis, utilizing innovative protocols to uncover potential vulnerabilities. We examine MPXV's epidemiology, link to smallpox, genomics, mutation landscape, clinical features, diagnostics, therapeutics, FDA-approved drugs, clinical trials, and preventive strategies. We used various analytical methods to analyse genome data from the NCBI database (2019-2023) to assess sequence alignment, protein identification, and genome diversity. The phylogenomic analysis identified unique lineages and a mutation associated with human transmission, revealing that 24 MPXV proteins are particularly mutation-prone. Domain analysis confirmed conserved Ortho-poxvirus genes and critical regions, providing insights into MPXV's structure, diversity, and host interaction. Additionally, we integrated clinical data, geospatial mapping, statistical analysis, and AI/ML for predictive insights on MPXV progression. We also explored bioinformatics tools and plant-based treatments, conducting in-silico studies to identify potential drug targets. Our research integrates epidemiological and genomic data to inform real-time preventive measures and optimize public health responses to MPXV.
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Registered trials
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.