Evidence map›Paper›PMID 41441635›Full record

ArticleToxins2025

Ai-Assisted Discovery of a Direct Physical Interaction Between a Venom Serpin from the Parasitoid Wasp

Jiale Wang, Xunyuan Jiang, Zemiao Xiao, Xuemei Tang, Kai Wan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxins, 2025. 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.

Jiale WangInstitute of Quality Standard and Monitoring Technology for Agro-Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.ORCID 0009-0000-7258-2538
Xunyuan JiangInstitute of Quality Standard and Monitoring Technology for Agro-Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Zemiao XiaoInstitute of Quality Standard and Monitoring Technology for Agro-Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.
Xuemei TangInstitute of Quality Standard and Monitoring Technology for Agro-Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.ORCID 0000-0002-9742-4963
Kai WanInstitute of Quality Standard and Monitoring Technology for Agro-Products, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515012720National Natural Science Foundation of China 32302444Special Fund for Scientific Innovation Strategy - Construction of High Level Academy of Agriculture Science R2021YJ-YB3023
6 · The paper itself

Abstract

Parasitoid wasp venoms represent highly specialized biochemical arsenals that evolved to manipulate host physiology and ensure successful development of the parasitoid offspring. However, the molecular targets and mechanisms underlying this complex host modulation remain poorly understood. To address this, we employed an AI-driven discovery pipeline, integrating the sequence-based predictor D-SCRIPT with the structural modeler AlphaFold3, to characterize LjSPI-1, a venom serpin from

Indexed as

CarboxypeptidasesInsect ProteinsSerpinsWaspsWasp VenomsAnimalsCarboxypeptidasesInsect Proteinsserine carboxypeptidaseSerpinsWasp Venomsartificial intelligencebiological controlhost-parasitoid interactionLiragathis javanaparasitoid waspserine carboxypeptidaseserpinvenom

Identifiers

PMID41441635
PMCPMC12737784

What OpenQuestion holds

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Registered trials

None linked

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.