Evidence map›Paper›PMID 27647375›Full record

ArticleBioorganic & medicinal chemistry2016

Design and synthesis of triarylacrylonitrile analogues of tamoxifen with improved binding selectivity to protein kinase C.

Colleen Carpenter, Roderick J Sorenson, Yafei Jin, Szymon Klossowski, Tomasz Cierpicki, Margaret Gnegy, Hollis D Showalter

Open access · greenAbstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Direct and Systemic Administration of a CNS-Permeant Tamoxifen Analog Reduces Amphetamine-Induced Dopamine Release and Reinforcing Effects.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Article
  6. Article
  7. A Novel PKC Inhibitor Shows Promise for Amphetamine Use Disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    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

7 authors at 1 institution in 1 country.

Colleen CarpenterDepartment of Pharmacology, University of Michigan, Ann Arbor, MI 48109, United States.
Roderick J SorensonDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, United States; Vahlteich Medicinal Chemistry Core, University of Michigan, Ann Arbor, MI 48109, United States.
Yafei JinDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, United States; Vahlteich Medicinal Chemistry Core, University of Michigan, Ann Arbor, MI 48109, United States.
Szymon KlossowskiDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, United States.
Tomasz CierpickiDepartment of Pathology, University of Michigan, Ann Arbor, MI 48109, United States.
Margaret GnegyDepartment of Pharmacology, University of Michigan, Ann Arbor, MI 48109, United States.
Hollis D ShowalterDepartment of Medicinal Chemistry, University of Michigan, Ann Arbor, MI 48109, United States; Vahlteich Medicinal Chemistry Core, University of Michigan, Ann Arbor, MI 48109, United States. Electronic address: showalh@umich.edu.
University of Michigan–Ann Arbor · US

Funding

PHARMACOLOGY OF DOPAMINE RELEASE BY AMPHETAMINER01DA011697 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GNEGY, MARGARET E · 2000 to 2016
$5.3M
Howard Hughes Medical InstituteNIDA NIH HHS R01 DA011697
6 · The paper itself

Abstract

The clinical selective estrogen receptor modulator tamoxifen is also a modest inhibitor of protein kinase C, a target implicated in several untreatable brain diseases such as amphetamine abuse. This inhibition and tamoxifen's ability to cross the blood brain barrier make it an attractive scaffold to conduct further SAR studies toward uncovering effective therapies for such diseases. Utilizing the known compound 6a as a starting template and guided by computational tools to derive physicochemical properties known to be important for CNS permeable drugs, the design and synthesis of a small series of novel triarylacrylonitrile analogues have been carried out providing compounds with enhanced potency and selectivity for PKC over the estrogen receptor relative to tamoxifen. Shortened synthetic routes compared to classical procedures have been developed for analogues incorporating a β-phenyl ring, which involve installing dialkylaminoalkoxy side chains first off the α and/or α' rings of a precursor benzophenone and then condensing the resultant ketones with phenylacetonitrile anion. A second novel, efficient and versatile route utilizing Suzuki chemistry has also been developed, which will allow for the introduction of a wide range of β-aryl or β-heteroaryl moieties and side-chain substituents onto the acrylonitrile core. For analogues possessing a single side chain off the α- or α'-ring, novel 2D NMR experiments have been carried out that allow for unambiguous assignment of E- and Z-stereochemistry. From the SAR analysis, one compound, 6c, shows markedly increased potency and selectivity for inhibiting PKC with an IC

Indexed as

Drug DesignAcrylonitrileCell Line, TumorDose-Response Relationship, DrugHumansMolecular StructureProtein BindingProtein Kinase CProtein Kinase InhibitorsStructure-Activity RelationshipTamoxifenAcrylonitrileProtein Kinase CProtein Kinase InhibitorsTamoxifenAmphetamineEstrogen receptor α (ERα)Protein kinase C (PKC)SARTamoxifenTriarylacrylonitrile derivatives

Identifiers

PMID27647375
PMCPMC5696786
OpenAlexW2517332013

What OpenQuestion holds

Textmetadata
LicenceTDM
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.