Evidence map›Paper›PMID 42369683›Full record

ArticleFrontiers in systems biology2026

Computational analysis and validation of UGT1A1/4 missense variants impacting tecovirimat metabolism in monkeypox patients.

Amro A Abdelazim, Sameh E Hassanein, Mohamad Maged, Nada S Al-Theyab, Itoh Kimiko, Kotb A Attia

Abstract read
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Article in Frontiers in systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Amro A AbdelazimInternational Dryland Development Commission (IDDC), Cairo, Egypt.
Sameh E HassaneinInternational Dryland Development Commission (IDDC), Cairo, Egypt.
Mohamad MagedApplied Biotechnology Program, School of Biotechnology, Nile University, Giza, Egypt.
Nada S Al-TheyabDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Itoh KimikoInstitute of Science and Technology, Niigata University, Niigata, Japan.
Kotb A AttiaCenter of Excellence in Biotechnology Research, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Single nucleotide polymorphisms (SNPs) in genes encoding drug-metabolizing enzymes can significantly impact a patient's response to medication. Uridine diphosphate glucuronosyltransferase 1 family A1 and A4 (UGT1A1/4) are crucial enzymes for metabolizing tecovirimat, the first oral antiviral drug approved for treating the monkeypox virus. Methods: This study used a comprehensive in-silico workflow to assess the deleterious effects of 842 missense mutations and 308 SNPs in the non-coding regions of the UGT1A1 gene, alongside 700 missense mutations and 324 SNPs in the non-coding regions of the UGT1A4 gene. An ensemble of in-silico prediction, structural modelling, and docking tools was employed. Results: We identified six missense variants that may compromise the structural integrity and function of the UGT1A1/4 enzymes. Specifically, the UGT1A1 SNPs G308R, P356T and G374S, while in UGT1A4 the SNPs G309R, P357T and G375S, were predicted to be the most harmful missense SNPs. Discussion: These mutations could affect drug-enzyme binding, potentially altering tecovirimat's therapeutic efficacy.

Indexed as

in-silicomissense variantmonkeypoxpharmacogeneticssingle nucleotide polymorphisms (SNPs)tecovirimat

Identifiers

PMID42369683
PMCPMC13293890

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