Evidence map›Paper›PMID 30362379›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2019

iVS analysis to evaluate the impact of scaffold diversity in the binding to cellular targets relevant in cancer.

Agostino Cilibrizzi, Giuseppe Floresta, Vincenzo Abbate, Maria Paola Giovannoni

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Agostino Cilibrizzia Institute of Pharmaceutical Science , King's College London , London , UK.
Giuseppe Florestaa Institute of Pharmaceutical Science , King's College London , London , UK.
Vincenzo Abbateb King's Forensics, School of Population Health & Environmental Sciences , King's College London , London , UK.
Maria Paola Giovannonid NEUROFARBA, Sezione di Farmaceutica e Nutraceutica , Università degli Studi di Firenze , Sesto Fiorentino , Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the application of inverse virtual screening (iVS) methodologies to identify cellular proteins as suitable targets for a library of heterocyclic small-molecules, with potential pharmacological implications. Standard synthetic procedures allow facile generation of these ligands showing a high degree of core scaffold diversity. Specifically, we have computationally investigated the binding efficacy of the new series for target proteins which are involved in cancer pathogenesis. As a result, nine macromolecules demonstrated efficient binding interactions for the molecular dataset, in comparison to the co-crystallised ligand for each target. Moreover, the iVS analysis led us to confirm that 27 analogues have high affinity for one or more examined cellular proteins. The additional evaluation of ADME and drug score for selected hits also highlights their capability as drug candidates, demonstrating valuable leads for further structure optimisation and biological studies.

Indexed as

Antineoplastic AgentsBinding SitesCell ProliferationDose-Response Relationship, DrugDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorModels, MolecularMolecular StructureNeoplasmsSmall Molecule LibrariesStructure-Activity RelationshipAntineoplastic AgentsSmall Molecule Librariesbiological targetsheterocyclesInverse virtual screeningscaffold diversitysmall-molecules

Identifiers

PMID30362379
PMCPMC6211261

What OpenQuestion holds

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LicenceCC BY
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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.