Evidence map›Paper›PMID 26286460›Full record

ArticleACS medicinal chemistry letters2015

Discovery of Bivalent Kinase Inhibitors via Enzyme-Templated Fragment Elaboration.

Frank E Kwarcinski, Michael E Steffey, Christel C Fox, Matthew B Soellner

Open access · greenAbstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Frank E KwarcinskiDepartments of Medicinal Chemistry and Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
Michael E SteffeyDepartments of Medicinal Chemistry and Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
Christel C FoxDepartments of Medicinal Chemistry and Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
Matthew B SoellnerDepartments of Medicinal Chemistry and Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States.
University of Michigan–Ann Arbor · US

Funding

MICHIGAN CHEMISTRY-BIOLOGY INTERFACE TRAINING PROGRAMT32GM008597 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONTGOMERY, JOHN · 1996 to 2018
$5.0M
Methodology for Identification of Substrate-Competitive Kinase InhibitorsR01GM088546 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SOELLNER, MATTHEW B · 2009 to 2012
$1.4M
NIGMS NIH HHS R01 GM088546NIGMS NIH HHS T32 GM008597
6 · The paper itself

Abstract

We have employed novel fragment-based screening methodology to discover bivalent kinase inhibitors with improved selectivity. Starting from a low molecular weight promiscuous kinase inhibitor, we appended a thiol for subsequent reaction with a library of acrylamide electrophiles. Enzyme-templated screening was performed to identify acrylamides that assemble into bivalent inhibitors of c-Src kinase. Upon identification of acrylamide fragments that improve the binding affinity of our lead thiol, we characterized the resulting bivalent inhibitors and identified a series of kinase inhibitors with improved potency and selectivity compared to the thiol-containing precursor. Provided that protein can be prepared free of endogenous reactive cysteines, our methodology is general and could be applied to nearly any enzyme of interest.

Indexed as

enzyme-templatedKinaseselectivity

Identifiers

PMID26286460
PMCPMC4538437
OpenAlexW2426585451

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.