Evidence map›Paper›PMID 31892137›Full record

ArticleMolecules (Basel, Switzerland)2019

Structure-Based Virtual Screening and Biological Evaluation of Peptide Inhibitors for Polo-Box Domain.

Fang Yan, Guangmei Liu, Tingting Chen, Xiaochen Fu, Miao-Miao Niu

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  5. Review
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  9. Frontiers in molecular biosciences · 2021
    Review
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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

5 authors at 1 institution in 1 country.

Fang YanDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Guangmei LiuDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Tingting ChenDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China.
Xiaochen FuDepartment 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
China Pharmaceutical University · CN

Funding

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

Abstract

The polo-box domain of polo-like kinase 1 (PLK1-PBD) is proved to have crucial roles in cell proliferation. Designing PLK1-PBD inhibitors is challenging due to their poor cellular penetration. In this study, we applied a virtual screening workflow based on a combination of structure-based pharmacophore modeling with molecular docking screening techniques, so as to discover potent PLK1-PBD peptide inhibitors. The resulting 9 virtual screening peptides showed affinities for PLK1-PBD in a competitive binding assay. In particular, peptide 5 exhibited an approximately 100-fold increase in inhibitory activity (IC

Indexed as

Cell Cycle ProteinsMolecular Docking SimulationPeptidesProtein Kinase InhibitorsProtein Serine-Threonine KinasesProto-Oncogene ProteinsCell DivisionDrug EvaluationG2 PhaseHeLa CellsHumansPolo-Like Kinase 1Protein DomainsStructure-Activity RelationshipCell Cycle ProteinsPeptidesPolo-Like Kinase 1Protein Kinase InhibitorsProtein Serine-Threonine KinasesProto-Oncogene Proteinscancer therapypeptide inhibitorpolo-box domainpolo-like kinasevirtual screening

Identifiers

PMID31892137
PMCPMC6982974
OpenAlexW2997254109

What Socratic 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 Socratic graph.