Evidence map›Paper›PMID 41001716›Full record

ArticleJournal of agricultural and food chemistry2025

Design, Synthesis, and Aphicidal Activity of Novel Insect Neuropeptide Kinin Receptor Antagonists, Targeting the Ser

Jia-Wei Feng, Lu Wen, Kang-Li He, Li-Lin Luo, Shu-Zhong He, Guy Smagghe, Shun-Hua Gui, Tong-Xian Liu

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 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

8 authors.

Jia-Wei FengGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.
Lu WenGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.
Kang-Li HeGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.
Li-Lin LuoGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.
Shu-Zhong HeSchool of Pharmaceutical Sciences, and Guizhou Engineering Laboratory for Synthetic Drugs, Guizhou University, Guiyang, Guizhou 550025, China.ORCID 0000-0002-3452-5177
Guy SmaggheGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.
Shun-Hua GuiGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.ORCID 0000-0001-7612-2731
Tong-Xian LiuGuizhou Key Laboratory of Agricultural Biosecurity, Institute of Entomology, College of Agriculture, Guizhou University, Guiyang 550025, China.ORCID 0000-0002-7686-0686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional chemical pesticides have raised significant environmental and health concerns, driving the pursuit of safer alternatives. Aphids, notorious for causing extensive agricultural damage and transmitting plant diseases, represent prime targets for next-generation insecticide development. This study investigates kinin neuropeptides, which regulate key physiological processes, as novel targets for biopesticide design. Using the kinin peptide as a structural lead, we synthesized 23 analogues and predicted their bioactivity via molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling. Ser

Indexed as

AphidsInsecticidesInsect ProteinsNeuropeptidesReceptors, NeuropeptideAnimalsDrug DesignKininsLigandsMolecular Docking SimulationQuantitative Structure-Activity RelationshipInsecticidesInsect ProteinsKininsLigandsNeuropeptidesReceptors, Neuropeptide3D-QSARanaloguesaphicidal activitycomputer-aided drug designG protein-coupled receptormachine learning

Identifiers

PMID41001716
PMCPMC12512177

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.