Evidence map›Paper›PMID 32751931›Full record

ArticleMolecules (Basel, Switzerland)2020

Structure-Based Virtual Screening, Synthesis and Biological Evaluation of Potential FAK-FAT Domain Inhibitors for Treatment of Metastatic Cancer.

Sahar B Kandil, Samuel R Jones, Sonia Smith, Stephen E Hiscox, Andrew D Westwell

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Study on the Controllable Preparation of NdMolecules (Basel, Switzerland) · 2023
    Article
  3. Review
  4. Review
  5. Review
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.

Sahar B KandilSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales CF10 3NB, UK.
Samuel R JonesSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales CF10 3NB, UK.
Sonia SmithSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales CF10 3NB, UK.
Stephen E HiscoxSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales CF10 3NB, UK.
Andrew D WestwellSchool of Pharmacy and Pharmaceutical Sciences, Cardiff University, Wales CF10 3NB, UK.ORCID 0000-0002-5166-9236
Cardiff University · GB

Funding

Life Sciences Research Network of Wales Life Sciences Research Network of WalesMedical Research Council MC_PC_15043
6 · The paper itself

Abstract

Focal adhesion kinase (FAK) is a tyrosine kinase that is overexpressed and activated in several advanced-stage solid cancers. In cancer cells, FAK promotes the progression and metastasis of tumours. In this study, we used structure-based virtual screening to filter a library of more than 210K compounds against the focal adhesion targeting FAK-focal adhesion targeting (FAT) domain to identify 25 virtual hit compounds which were screened in the invasive breast cancer line (MDA-MB-231). Most notably, compound

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorCell MovementCell ProliferationCell SurvivalCHO CellsCricetulusDrug Screening Assays, AntitumorFocal Adhesion Kinase 1HumansHydrogen BondingMolecular Docking SimulationPancreatic NeoplasmsProtein DomainsProtein Kinase InhibitorsAntineoplastic AgentsERG protein, humanFocal Adhesion Kinase 1Protein Kinase InhibitorsPTK2 protein, humanTranscriptional Regulator ERGbreast cancer (BC)chloropyramine (C4)focal adhesion kinase (FAK)pancreatic cancerrational drug designtriple negative breast cancer (TNBC)virtual screening

Identifiers

PMID32751931
PMCPMC7435868
OpenAlexW3046639733

What OpenQuestion 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 OpenQuestion graph.