Evidence map›Paper›PMID 21105689›Full record

ReviewACS chemical biology2011

Transcript profiling and RNA interference as tools to identify small molecule mechanisms and therapeutic potential.

Rahul Palchaudhuri, Paul J Hergenrother

Abstract readReview
In one paragraph

Review in ACS chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Chemoproteomics, A Broad Avenue to Target Deconvolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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  12. How were new medicines discovered?Nature reviews. Drug discovery · 2011
    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

2 authors.

Rahul PalchaudhuriDepartment of Chemistry, University of Illinois at Urbana-Champaign, 61801, United States.
Paul J Hergenrother

Funding

Small Molecule Activators of Procaspases as Anti-Cancer AgentsR01CA120439 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2007 to 2022
$6.2M
NCI NIH HHS R01 CA120439NCI NIH HHS R01-CA120439
6 · The paper itself

Abstract

The identification of the mechanism of action and therapeutic potential of bioactive small molecules remains a considerable challenge in the field of drug discovery and chemical biology. Apart from traditional target identification techniques, new tools have emerged that can significantly aid mechanism elucidation efforts. The development of pattern matching algorithms that compare transcription profile data to analogous data on compounds with known cellular targets allows for mechanistic insights without the need to synthesize chemically modified probes. In addition, such methods can be used to connect small molecules to particular disease states, thus aiding the rational identification of candidate therapeutics. Another method with considerable potential is whole-genome RNAi screening, a technique that can identify critical upstream proteins involved in a small molecule's mechanism of action. Several proof-of-concept studies using compounds with known cellular targets suggest this tool will enable mechanistic characterization of bioactive small molecules with unknown mechanisms. This Review highlights recent successes in using these pattern matching and chemical genetic tools, with the goal of uncovering small molecule mechanisms and identifying therapeutic candidates for disease treatment.

Indexed as

Drug DesignPharmaceutical PreparationsProtein Array AnalysisRNA InterferenceRNA PrecursorsRNA, Small InterferingPharmaceutical PreparationsRNA PrecursorsRNA, Small Interfering

Identifiers

PMID21105689
PMCPMC3121534

What OpenQuestion holds

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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.