Evidence map›Paper›PMID 22145013›Full record

ArticleCurrent chemical genomics2011

Drug discovery toward antagonists of methyl-lysine binding proteins.

J Martin Herold, Lindsey A Ingerman, Cen Gao, Stephen V Frye

Open access · diamondAbstract read
In one paragraph

Article in Current chemical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Targeting epigenetics for cancer therapy.Archives of pharmacal research · 2019
    Review
  3. Target class drug discovery.Nature chemical biology · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Targeting epigenetic regulations in cancer.Acta biochimica et biophysica Sinica · 2016
    Review
  9. Article
  10. Article
  11. 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.

J Martin HeroldCenter for Integrated Chemical Biology and Drug Discovery, UNC Eshelman School of Pharmacy, Division of Medicinal Chemistry and Natural Products, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Lindsey A Ingerman
Cen Gao
Stephen V Frye
University of North Carolina at Chapel Hill · US

Funding

Discovery of Small Molecule MBT Domain AntagonistsRC1GM090732 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRYE, STEPHEN VERNON · 2009 to 2010
$876k
NIGMS NIH HHS RC1 GM090732
6 · The paper itself

Abstract

The recognition of methyl-lysine and -arginine residues on both histone and other proteins by specific "reader" elements is important for chromatin regulation, gene expression, and control of cell-cycle progression. Recently the crucial role of these reader proteins in cancer development and dedifferentiation has emerged, owing to the increased interest among the scientific community. The methyl-lysine and -arginine readers are a large and very diverse set of effector proteins and targeting them with small molecule probes in drug discovery will inevitably require a detailed understanding of their structural biology and mechanism of binding. In the following review, the critical elements of methyl-lysine and -arginine recognition will be summarized with respect to each protein family and initial results in assay development, probe design, and drug discovery will be highlighted.

Indexed as

chemical probeschromatindrug discovery.Histonesmethyl-argininemethyl-lysinepi-cation interactionspost-translational modificationsreader domains

Identifiers

PMID22145013
PMCPMC3229088
OpenAlexW2048575377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.