Evidence map›Paper›PMID 36779710›Full record

ArticlemBio2023

Structure-Aided Identification of an Inhibitor Targets Mps1 for the Management of Plant-Pathogenic Fungi.

Zhiwei Kong, Xin Zhang, Feng Zhou, Liu Tang, Yitong Chen, Saijie Li, Xiaokang Zhang, Letian Kuai, Wenji Su, Weiren Cui and 6 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Zhiwei KongMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Xin ZhangMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Feng ZhouMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Liu TangMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Yitong ChenMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Saijie LiMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Xiaokang ZhangMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Letian KuaiWuXi AppTec (Shanghai) Co., Ltd., Shanghai, China.
Wenji SuWuXi AppTec (Shanghai) Co., Ltd., Shanghai, China.
Weiren CuiWuXi AppTec (Shanghai) Co., Ltd., Shanghai, China.
Jiaxi CaiWuXi AppTec (Shanghai) Co., Ltd., Shanghai, China.
Yuli WangWuXi AppTec (Shanghai) Co., Ltd., Shanghai, China.
Jun YangMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
You-Liang PengMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Dongli WangMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.
Junfeng LiuMinistry of Agriculture Key Laboratory for Crop Pest Monitoring and Green Control, College of Plant Protection, China Agricultural University, Beijing, China.ORCID 0000-0001-5825-5397
China Agricultural University · CNWuXi AppTec (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blast disease caused by Magnaporthe oryzae threatens rice production worldwide, and chemical control is one of the main methods of its management. The high mutation rate of the M. oryzae genome results in drug resistance, which calls for novel fungicide targets. Fungal proteins that function during the infection process might be potential candidates, and Mps1 (M. oryzae mitogen-activated protein kinase 1) is such a protein that plays a critical role in appressorium penetration of the plant cell wall. Here, we report the structure-aided identification of a small-molecule inhibitor of Mps1. High-throughput screening was performed with Mps1 against a DNA-encoded compound library, and one compound, named A378-0, with the best performance was selected for further verification. A378-0 exhibits a higher binding affinity than the kinase cosubstrate ATP and can inhibit the enzyme activity of Mps1. Cocrystallization of A378-0 with Mps1 revealed that A378-0 binds to the catalytic pocket of Mps1, while the three ring-type substructures of A378-0 constitute a triangle that squeezes into the pocket.

Indexed as

Fungicides, IndustrialFungal ProteinsFungiGene Expression Regulation, FungalPlant DiseasesPlantsVirulenceFungal ProteinsFungicides, Industrialcrystal structurefungicideinhibitorMagnaporthe oryzaeMAP kinase

Identifiers

PMID36779710
PMCPMC10127588
OpenAlexW4320485657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.