Evidence map›Paper›PMID 33167727›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2021

Identification of a dual TAOK1 and MAP4K5 inhibitor using a structure-based virtual screening approach.

Min-Wu Chao, Tony Eight Lin, Wei-Chun HuangFu, Chao-Di Chang, Huang-Ju Tu, Liang-Chieh Chen, Shih-Chung Yen, Tzu-Ying Sung, Wei-Jan Huang, Chia-Ron Yang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  6. Flavone-based dual PARP-Tubulin inhibitor manifesting efficacy against endometrial cancer.Journal of enzyme inhibition and medicinal chemistry · 2023
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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

12 authors at 5 institutions in 2 countries.

Min-Wu ChaoGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-9122-3415
Tony Eight LinGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Wei-Chun HuangFuGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Chao-Di ChangPh.D. Program in Biotechnology Research and Development, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Huang-Ju TuGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-6866-7034
Liang-Chieh ChenGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-4891-3848
Shih-Chung YenWarshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, P. R. China.ORCID https://orcid.org/0000-0001-8596-0083
Tzu-Ying SungInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan.
Wei-Jan HuangPh.D. Program in Biotechnology Research and Development, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
Chia-Ron YangSchool of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shiow-Lin PanGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Kai-Cheng HsuGraduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Taipei Medical University · TWNational Taiwan University · TWChinese University of Hong Kong, Shenzhen · CNNational Yang Ming Chiao Tung University · TWWan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The STE20 kinase family is a complex signalling cascade that regulates cytoskeletal organisation and modulates the stress response. This signalling cascade includes various kinase mediators, such as TAOK1 and MAP4K5. The dysregulation of the STE20 kinase pathway is linked with cancer malignancy. A small-molecule inhibitor targeting the STE20 kinase pathway has therapeutic potential. In this study, a structure-based virtual screening (SBVS) approach was used to identify potential dual TAOK1 and MAP4K5 inhibitors. Enzymatic assays confirmed three potential dual inhibitors (>50% inhibition) from our virtual screening, and analysis of the TAOK1 and MAP4K5 binding sites indicated common interactions for dual inhibition. Compound 1 revealed potent inhibition of colorectal and lung cancer cell lines. Furthermore, compound 1 arrested cancer cells in the G0/G1 phase, which suggests the induction of apoptosis. Altogether, we show that the STE20 signalling mediators TAOK1 and MAP4K5 are promising targets for drug research.

Indexed as

Antineoplastic AgentsApoptosisCell CycleCell ProliferationCell SurvivalDose-Response Relationship, DrugDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHumansMolecular StructureProtein Kinase InhibitorsProtein Serine-Threonine KinasesStructure-Activity RelationshipTumor Cells, CulturedAntineoplastic AgentsMAP4K5 protein, humanProtein Kinase InhibitorsProtein Serine-Threonine KinasesTAO1 protein kinasecancerdrug discoverykinase inhibitorsmall-moleculeSTE20 pathwayStructure-based virtual screening

Identifiers

PMID33167727
PMCPMC7655034
OpenAlexW3104927021

What OpenQuestion holds

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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.