Evidence map›Paper›PMID 41915862›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

De Novo Design and Directed Evolution Refinement of Mirror-Image Protein Binders Targeting Interleukin-4.

Liqing Xu, Yuxiang Ren, Tongyue Wang, Hongyong Li, Yue Yao, Lei Liu, Ke Sun, Peilong Lu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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
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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

8 authors.

Liqing XuCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
Yuxiang RenTsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing, China.
Tongyue WangTsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing, China.
Hongyong LiWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
Yue YaoWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
Lei LiuTsinghua-Peking Joint Center for Life Sciences, Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Center for Synthetic and Systems Biology, Department of Chemistry, Tsinghua University, Beijing, China.
Ke SunWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
Peilong LuWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-5894-9268

Funding

China Postdoctoral Science Foundation BX20250144Ministry of Science and Technology of the People's Republic of China 2024YFC3405500National Natural Science Foundation of China 22137005National Natural Science Foundation of China 22227810National Natural Science Foundation of China 32430063National Natural Science Foundation of China 32525039National Natural Science Foundation of China T2488301"Pioneer" and "Leading Goose" R&D Program of Zhejiang 2024SSYS0036
6 · The paper itself

Abstract

Human interleukin-4 (IL-4) is a critical therapeutic target for allergic diseases and cancer, yet current biologics face stability and specificity limitations. We report a novel strategy combining de novo computational design with directed evolution to engineer a D-protein inhibitor targeting IL-4. Unlike stochastic screening, our approach enables epitope-specific design against the mirror-image D-IL-4 structure. Crucially, we integrated WALTZ-guided aggregation prediction into the evolution cycle to simultaneously optimize both binding affinity and solution behavior. The resulting D-protein, D-18252-evo, binds native IL-4 with nanomolar affinity (∼87 nM) and effectively blocks receptor engagement. Functional assays confirm potent inhibition of IL-4-induced STAT6 phosphorylation and cell proliferation. Furthermore, D-18252-evo exhibits exceptional biophysical properties, including high thermal stability and resistance to proteolytic degradation. This work establishes a scalable framework for generating robust mirror-image therapeutics, positioning D-proteins as a promising next-generation platform for treating cytokine-driven disorders with enhanced stability and targeted efficacy.

Indexed as

Directed Molecular EvolutionInterleukin-4HumansProtein BindingProtein EngineeringIL4 protein, humanInterleukin-4D‐protein inhibitorIL‐4mirror‐image proteinprotein binderprotein design

Identifiers

PMID41915862
PMCPMC13252646

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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.