Evidence map›Paper›PMID 39954107›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2025

In silico Screening of Duhaldea nervosa-derived Endogenous Peptides to Predict the Potential Anticancer Mechanisms.

Yanyan Zhang, Jieyao Ma, Haixia Li, Peizi Liu, Keyi Chen, Shengjun Ma, Wei Cai

Abstract read
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In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 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

7 authors.

Yanyan Zhang *School of Food Science and Pharmacy, Xinjiang Agricultural University, Xinjiang, PR China.
Jieyao Ma *School of Pharmaceutical Sciences, Hunan University of Medicine, Hunan, 418000, PR China.
Haixia LiSchool of Pharmaceutical Sciences, Hunan University of Medicine, Hunan, 418000, PR China.
Peizi LiuSchool of Pharmaceutical Sciences, Hunan University of Medicine, Hunan, 418000, PR China.
Keyi ChenSchool of Pharmaceutical Sciences, Hunan University of Medicine, Hunan, 418000, PR China.
Shengjun MaSchool of Food Science and Pharmacy, Xinjiang Agricultural University, Xinjiang, PR China. wlmqmsj@xjau.edu.cn.
Wei CaiSchool of Pharmaceutical Sciences, Hunan University of Medicine, Hunan, 418000, PR China. 20120941161@bucm.edu.cn.

Funding

Hunan Province Social Science Innovation Research Base Ethnic medicine and ethnic culture research baseThe Science and Technology Innovation Program of Hunan Province 2022RC1228
6 · The paper itself

Abstract

D. nervosa is a wild perennial herb used in traditional Chinese medicine for treating fractures, rheumatoid arthritis, and digestive disorders. Its primary bioactive components are flavonoids, phenolic acids, and sesquiterpenes. However, bioactive peptides, which exhibit a wide range of biological activities and are commonly found in both animals and plants, have not been reported in D. nervosa to date. To investigate the presence and potential bioactivities of bioactive peptides in D. nervosa, the abundance of endogenous peptides was initially analyzed using a Nano-LC-Q Exactive Plus quadrupole Orbitrap mass spectrometer. Subsequently, bioinformatics screening, computational enzyme hydrolysis, "target-pathway-disease" network prediction, molecular docking, and molecular dynamics simulations were performed to evaluate safety, biological activity prediction and investigate the potential anticancer mechanisms of D. nervosa. The results demonstrate that the simulated enzymatic hydrolysates of D. nervosa endogenous peptide target and bind to cancer pathway receptor proteins such as MMP9, MAPK1, SRC, and PI3KCA, indicating their potential anticancer activity. This study provides valuable information for further research and the development of novel anti-cancer drugs.

Indexed as

Antineoplastic AgentsAntineoplastic Agents, PhytogenicPeptidesComputational BiologyComputer SimulationHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsAntineoplastic Agents, PhytogenicPeptidesBioinformaticsEndogenous peptidesMolecular dockingMolecular dynamics

Identifiers

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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.