Evidence map›Paper›PMID 38516588›Full record

ArticleRSC medicinal chemistry2024

Development of Hsp90 C-terminal inhibitors with noviomimetics that manifest anti-proliferative activities.

Eva Amatya, Chitra Subramanian, Mark S Cohen, Brian S J Blagg

Open access · greenAbstract read
In one paragraph

Article in RSC medicinal chemistry, 2024. 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
1.6field-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, 7 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Eva AmatyaDepartment of Chemistry and Biochemistry, Warren Center for Drug Discovery, University of Notre Dame Notre Dame Indiana 46556 USA bblagg@nd.edu.ORCID https://orcid.org/0000-0001-5494-3256
Chitra SubramanianCancer Center at Illinois, University of Illinois Urbana-Champaign Urbana Illinois 61801 USA.
Mark S CohenCancer Center at Illinois, University of Illinois Urbana-Champaign Urbana Illinois 61801 USA.ORCID https://orcid.org/0000-0002-2517-0757
Brian S J BlaggDepartment of Chemistry and Biochemistry, Warren Center for Drug Discovery, University of Notre Dame Notre Dame Indiana 46556 USA bblagg@nd.edu.ORCID https://orcid.org/0000-0002-6200-3480
University of Illinois Urbana-Champaign · USUniversity of Notre Dame · US

Funding

Engineering the Next Generation of Safer Hsp90 InhibitorsR01CA270147 · NCI · UNIVERSITY OF NOTRE DAME · PI Brian S J Blagg, Mark Steven Cohen · 2023 to 2026
$1.8M
Optimization and Investigation of Cruentaren A analogsR01CA216919 · NCI · UNIVERSITY OF NOTRE DAME · PI BLAGG, BRIAN S J, COHEN, MARK STEVEN · 2017 to 2021
$1.4M
NCI NIH HHS R01 CA216919NCI NIH HHS R01 CA270147
6 · The paper itself

Abstract

Inhibition of the Hsp90 C-terminal domain offers a promising opportunity to treat numerous diseases/indications. Furthermore, the development of Hsp90 C-terminal inhibitors (CTIs) is advantageous over N-terminal inhibitors because it avoids the detriments associated with induction of the heat shock response (HSR). However, the lack of co-crystal structures of small molecules bound to the C-terminus have hindered their development. Therefore, structure-activity relationship (SAR) studies have been pursued to optimize such inhibitors. Noviose sugar surrogates, also known as noviomimetics have been prepared to investigate the size and nature of the C-terminal domain binding pocket. Herein, we report the synthesis and anti-proliferative activity manifested by this new series of Hsp90 C-terminal inhibitors.

Identifiers

PMID38516588
PMCPMC10953479
OpenAlexW4390968328

What OpenQuestion holds

Textmetadata
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.