Evidence map›Paper›PMID 26723887›Full record

ReviewDrug discovery today. Technologies2015

Cell-based assays to support the profiling of small molecules with histone methyltransferase and demethylase modulatory activity.

Natalia J Martinez, Anton Simeonov

Open access · greenAbstract readReview
In one paragraph

Review in Drug discovery today. Technologies, 2015. 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
0.3field-weighted citation impact, top 39% 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, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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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

2 authors at 1 institution in 1 country.

Natalia J MartinezNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, United States.
Anton SimeonovNational Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD 20850, United States. Electronic address: asimeono@mail.nih.gov.
National Center for Advancing Translational Sciences · US

Funding

Intramural NIH HHS Z99 TR999999
6 · The paper itself

Abstract

Histone methylation is a prevalent and dynamic chromatin modification, executed by the action of histone methyltransferases (HMTs) and demethylases (HDMs). Aberrant activity of many of these enzymes is associated with human disease, hence, there is a growing interest in identifying corresponding small molecule inhibitors with therapeutic potential. To date, most of the technologies supporting the identification of these inhibitors constitute in vitro biochemical assays which, although robust and sensitive, do not study HMTs and HDMs in their native cellular state nor provide information of inhibitor's cell permeability and toxicity. The evident need for complementary cellular approaches has recently propelled the development of cell-based assays that enable screening of HMT and HDM enzymes in a more relevant environment. Here, we highlight current cellular methodologies for HMT and HDM drug discovery support. We anticipate that implementation of these cell-based assays will positively impact the discovery of pharmacologically potent HMT and HDM inhibitors.

Indexed as

AnimalsBiological AssayCells, CulturedDrug Evaluation, PreclinicalEnzyme InhibitorsGene Expression ProfilingHistone DemethylasesHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHistonesHumansMethylationProtein BindingSmall Molecule LibrariesEnzyme InhibitorsHistone DemethylasesHistone-Lysine N-MethyltransferaseHistone MethyltransferasesHistonesSmall Molecule Libraries

Identifiers

PMID26723887
PMCPMC4698313
OpenAlexW1955947014

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.