Evidence map›Paper›PMID 42828399›Full record

ArticleComputational and structural biotechnology journal2026

Rational Immunogenicity Modulation of Virus-Like Particles by VLPIM.

Chufan Wang, Yeyun Chen, Ming-Wei Wang, Lei Ren, Qingtong Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 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

5 authors.

Chufan WangResearch Center for Medicinal Structural Biology, National Research Center for Translational Medicine at Shanghai, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Yeyun ChenInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.
Ming-Wei WangResearch Center for Medicinal Structural Biology, National Research Center for Translational Medicine at Shanghai, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Lei RenKey Laboratory of Biomedical Engineering of Fujian Province University/Research Center of Biomedical Engineering of Xiamen, Department of Biomaterials, College of Materials, Xiamen University, Xiamen 361005, China.
Qingtong ZhouResearch Center for Medicinal Structural Biology, National Research Center for Translational Medicine at Shanghai, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID https://orcid.org/0000-0001-8124-3079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus-like particles (VLPs) are versatile platforms for drug delivery and vaccine development, but precisely customizing their immune profiles for specific clinical applications remains challenging. Here, we present a computational framework that integrates complementary artificial-intelligence-driven tools for protein design, structure prediction, and antigenicity assessment to enable rational immunogenicity modulation of VLPs while preserving their structural integrity. Leveraging the central role of CD4

Identifiers

PMID42828399
PMCPMC13632935

What OpenQuestion holds

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Registered trials

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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.