Evidence map›Paper›PMID 23565147›Full record

ArticlePloS one2013

Identification, design and bio-evaluation of novel Hsp90 inhibitors by ligand-based virtual screening.

JianMin Jia, XiaoLi Xu, Fang Liu, XiaoKe Guo, MingYe Zhang, MengChen Lu, LiLi Xu, JinLian Wei, Jia Zhu, ShengLie Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Reverse the Resistance to PARP Inhibitors.International journal of biological sciences · 2017
    Review
  4. Article
  5. Article
  6. 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

13 authors at 1 institution in 1 country.

JianMin JiaState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.
XiaoLi Xu
Fang Liu
XiaoKe Guo
MingYe Zhang
MengChen Lu
LiLi Xu
JinLian Wei
Jia Zhu
ShengLie Zhang
ShengMiao Zhang
HaoPeng Sun
QiDong You
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat shock protein 90 (Hsp90), whose inhibitors have shown promising activity in clinical trials, is an attractive anticancer target. In this work, we first explored the significant pharmacophore features needed for Hsp90 inhibitors by generating a 3D-QSAR pharmacophore model. It was then used to virtually screen the SPECS databases, identifying 17 hits. Compound S1 and S13 exhibited the most potent inhibitory activity against Hsp90, with IC50 value 1.61±0.28 μM and 2.83±0.67 μM, respectively. Binding patterns analysis of the two compounds with Hsp90 revealed reasonable interaction modes. Further evaluation showed that the compounds exhibited good anti-proliferative effects against a series of cancer cell lines with high expression level of Hsp90. Meanwhile, S13 induced cell apoptosis in a dose-dependent manner in different cell lines. Based on the consideration of binding affinities, physicochemical properties and toxicities, 24 derivatives of S13 were designed, leading to the more promising compound S40, which deserves further optimization.

Indexed as

Computer SimulationDrug DesignDrug Evaluation, PreclinicalLigandsQuantitative Structure-Activity RelationshipAntineoplastic AgentsBinding SitesCell Line, TumorDatabases, FactualHSP90 Heat-Shock ProteinsHumansInhibitory Concentration 50Models, MolecularMolecular ConformationProtein BindingAntineoplastic AgentsHSP90 Heat-Shock ProteinsLigands

Identifiers

PMID23565147
PMCPMC3615092
OpenAlexW2087997775

What OpenQuestion holds

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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.