Evidence map›Paper›PMID 23337810›Full record

ReviewCurrent opinion in chemical biology2013

Target deconvolution techniques in modern phenotypic profiling.

Jiyoun Lee, Matthew Bogyo

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Targeting extrachromosomal DNA in human cancers.Nature reviews. Drug discovery · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Phenotype-based drug screening: AnFrontiers in molecular biosciences · 2022
    Article
  13. Review
  14. Review
  15. Secretome-Based Screening in Target Discovery.SLAS discovery : advancing life sciences R & D · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Jiyoun LeeDepartment of Global Medical Science, Sungshin Women's University, Seoul 142-732, Republic of Korea. jlee@sungshin.ac.kr
Matthew Bogyo

Funding

Small Molecule Imaging of Protease ActivityR01EB005011 · NIBIB · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2005 to 2013
$3.0M
Chemically Mapping Malarial Rupture ProteasesR01AI078947 · NIAID · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2009 to 2013
$2.0M
Cathepsin S-targeted probes for optical and PET imaging of lung fibrosisR01HL116307 · NHLBI · STANFORD UNIVERSITY · PI BOGYO, MATTHEW · 2012 to 2014
$1.3M
NHLBI NIH HHS R01 HL116307NIAID NIH HHS R01 AI078947NIBIB NIH HHS R01 EB005011
6 · The paper itself

Abstract

The past decade has seen rapid growth in the use of diverse compound libraries in classical phenotypic screens to identify modulators of a given process. The subsequent process of identifying the molecular targets of active hits, also called 'target deconvolution', is an essential step for understanding compound mechanism of action and for using the identified hits as tools for further dissection of a given biological process. Recent advances in 'omics' technologies, coupled with in silico approaches and the reduced cost of whole genome sequencing, have greatly improved the workflow of target deconvolution and have contributed to a renaissance of 'modern' phenotypic profiling. In this review, we will outline how both new and old techniques are being used in the difficult process of target identification and validation as well as discuss some of the ongoing challenges remaining for phenotypic screening.

Indexed as

AnimalsChromatography, AffinityCloning, MolecularDrug DiscoveryHumansProteinsProteomicsProteins

Identifiers

PMID23337810
PMCPMC3594516

What OpenQuestion holds

Textmetadata
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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.