Evidence map›Paper›PMID 31197105›Full record

ArticleMolecules (Basel, Switzerland)2019

Design, Synthesis and Cancer Cell Growth Inhibition Evaluation of New Aminoquinone Hybrid Molecules.

Andrea Defant, Ines Mancini

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Andrea DefantLaboratory of Bioorganic Chemistry, Department of Physics, University of Trento, Via Sommarive 14, 38123 Trento, Italy. andrea.defant@unitn.it.
Ines ManciniLaboratory of Bioorganic Chemistry, Department of Physics, University of Trento, Via Sommarive 14, 38123 Trento, Italy. ines.mancini@unitn.it.ORCID 0000-0003-0297-3685

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular hybridization has proven to be a successful multi-target strategy in the design and development of new antitumor agents. Based on this rational approach, we have planned hybrid molecules containing covalently linked pharmacophoric units, present individually in compounds acting as inhibitors of the cancer protein targets tubulin, human topoisomerase II and ROCK1. Seven new molecules, selected by docking calculation of the complexes with each of the proteins taken into consideration, have been efficiently synthesized starting from 2,3-dichloro-1,4-naphtoquinone or 6,7-dichloro-5,8-quinolinquinone. By screening the full National Cancer Institute (NCI) panel, including 60 human cancer cell lines, four molecules displayed good and sometimes better growth inhibition GI

Indexed as

AmidesAntineoplastic AgentsCell Line, TumorCell ProliferationDNA Topoisomerases, Type IIDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansMolecular Docking SimulationMolecular StructureNaphthoquinonesNeoplasmsPodophyllotoxinPyridinesQuinolinesrho-Associated Kinases6,7-dichloro-5,8-quinolinedioneAmidesAntineoplastic AgentsdichloneDNA Topoisomerases, Type IIfosbretabulinNaphthoquinonesPodophyllotoxinPyridinesQuinolinesrho-Associated KinasesROCK1 protein, humanStilbenesTopoisomerase II InhibitorsTubulinTubulin ModulatorsY 276323,4,5-trimethoxyphenyl groupantitumor activitycytotoxicitydocking calculationhybrid moleculesnaphtoquinonesquinolinequinones

Identifiers

PMID31197105
PMCPMC6630839

What OpenQuestion holds

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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.