Evidence map›Paper›PMID 31795214›Full record

ArticleMolecules (Basel, Switzerland)2019

Discovery of a Potent PLK1-PBD Small-Molecule Inhibitor as an Anticancer Drug Candidate through Structure-Based Design.

Yunjiang Zhou, Fang Yan, Xiangyun Huo, Miao-Miao Niu

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Yunjiang ZhouDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Fang YanDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Xiangyun HuoDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Miao-Miao NiuDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.ORCID 0000-0001-6368-8525

Funding

National Natural Science Foundation of China 81703419Natural Science Foundation of Jiangsu Province BK20170734
6 · The paper itself

Abstract

Polo-box domain of polo-like kinase 1 (PLK1-PBD) has a pivotal role in cell proliferation and could be implicated as a potential anticancer target. Although some small-molecule inhibitors have been developed, their clinical application has been restricted by the poor selectivity. Therefore, there is an urgent need to develop effective PLK1-PBD inhibitors. Herein, we have developed a virtual screening protocol to find PLK1-PBD inhibitors by using combination of structure-based pharmacophore modeling and molecular docking. This protocol was successfully applied to screen PLK1-PBD inhibitors from specs database. MTT assay indicated that five screened hits suppressed the growth of HeLa cells. Particularly, hit-5, as a selective PLK1 inhibitor targeting PLK1-PBD, significantly inhibited the progression of HeLa cells-derived xenograft, with no obvious side effects. This work demonstrates that hit-5 may be a potential anticancer agent.

Indexed as

Drug DesignModels, MolecularProtein Interaction Domains and MotifsAntineoplastic AgentsCell Cycle ProteinsMolecular ConformationMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructurePolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsStructure-Activity RelationshipAntineoplastic AgentsCell Cycle ProteinsPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene Proteinscancer therapymolecular dockingpharmacophore modelingpolo-box domain

Identifiers

PMID31795214
PMCPMC6930574

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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.