Evidence map›Paper›PMID 41927882›Full record

ArticleScientific reports2026

AI-aided engineering and production optimization of chimeric hetero-viral capping enzymes for mRNA vaccines.

Dilidaer Shahatibieke, Xiaohui Tang, Xuanfang Zheng, Aibibuhan Abulaizi, Abudoureyimu Abula

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dilidaer ShahatibiekeDepartment of microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Xiaohui TangDepartment of microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Xuanfang ZhengDepartment of microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Aibibuhan AbulaiziDepartment of Gynecology and Reproductive Maternity Assistance Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Abudoureyimu AbulaDepartment of microbiology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China. dg20210502@xjmu.edu.cn.

Funding

Youth Program of National Natural Science Foundation of China Grant No. 32201032
6 · The paper itself

Abstract

The 5’ cap structure exerts profound impacts on mRNA vaccine stability, translational efficiency, and evasion of innate immunity, encompassing key enzymatic components: triphosphatase (TPase), guanylyl transferase (GTase), and bifunctional methyltransfer-ases (N7G-MTase/2’-O-MTase). However, conventional multi-enzyme capping systems for mRNA vaccines are plagued by inherent inefficiencies. Herein, we report an AI-driven novel hetero-viral chimeric capping enzyme for mRNA vaccines, developed through bioinformatics mining of the DeepSeek and UniProt databases. This single-molecule biocatalyst integrates all capping functions by fusing a rabbit fibroma virus (RFV)-derived TPase/GTase domain with bifunctional methyltransferase domains from flavivirus (FV), respiratory syncytial virus (RSV), and rotavirus (RV). Following systematic tag-host optimization, a soluble and functional RFV-FV chimera was achieved via N-terminal maltose-binding protein (MBP) fusion in E. coli BL21(DE3) pLysS, whereas RFV-RSV and RFV-RV chimeras formed insoluble aggregates or were trapped in chaperone complexes. Complementary assays confirmed that the RFV-FV capping enzyme exhibited catalytic activities comparable to the commercial vaccinia virus-derived capping enzyme: TPase (96.76%±1.63%), GTase (100.69%±2.95%), and MTase (77.87%±3.85%). Our work presents a versatile cross-viral RFV-FV capping enzyme that enables large-scale prokaryotic production and ensures mRNA vaccine quality via its multifunctional catalytic activity, thereby streamlining mRNA vaccine manufacturing and establishing an AI-driven paradigm for designer enzyme engineering.

Indexed as

mRNA VaccinesNucleotidyltransferasesProtein EngineeringAnimalsRecombinant Fusion ProteinsRNA CapsmRNA VaccinesNucleotidyltransferasesRecombinant Fusion ProteinsRNA CapsAI-aided enzyme engineeringchimeric capping enzymemRNA capping modificationmRNA vaccines

Identifiers

PMID41927882
PMCPMC13190836

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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.