Evidence map›Paper›PMID 19825513›Full record

ReviewCurrent opinion in chemical biology2009

Connecting synthetic chemistry decisions to cell and genome biology using small-molecule phenotypic profiling.

Bridget K Wagner, Paul A Clemons

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Virtual cell: Current perspectives and future prospects.The Journal of international medical research · 2026
    Review
  2. Review
  3. Small molecule photocatalysis enables drug target identification via energy transfer.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
  5. Review
  6. Real-Time Biological Annotation of Synthetic Compounds.Journal of the American Chemical Society · 2016
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Quantifying structure and performance diversity for sets of small molecules comprising small-molecule screening collections.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  16. 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.

Bridget K WagnerChemical Biology Program, Broad Institute of Harvard and MIT, 7 Cambridge Center, Cambridge, MA 02142, USA.
Paul A Clemons

Funding

The Incubator ProjectP50GM069721 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHREIBER, STUART L · 2003 to 2012
$21.3M
NIGMS NIH HHS P50 GM069721NIGMS NIH HHS P50-GM069721
6 · The paper itself

Abstract

Discovering small-molecule modulators for thousands of gene products requires multiple stages of biological testing, specificity evaluation, and chemical optimization. Many cellular profiling methods, including cellular sensitivity, gene expression, and cellular imaging, have emerged as methods to assess the functional consequences of biological perturbations. Cellular profiling methods applied to small-molecule science provide opportunities to use complex phenotypic information to prioritize and optimize small-molecule structures simultaneously against multiple biological endpoints. As throughput increases and cost decreases for such technologies, we see an emerging paradigm of using more information earlier in probe-discovery and drug-discovery efforts. Moreover, increasing access to public datasets makes possible the construction of 'virtual' profiles of small-molecule performance, even when multiplexed measurements were not performed or when multidimensional profiling was not the original intent. We review some key conceptual advances in small-molecule phenotypic profiling, emphasizing connections to other information, such as protein-binding measurements, genetic perturbations, and cell states. We argue that to maximally leverage these measurements in probe-discovery and drug-discovery requires a fundamental connection to synthetic chemistry, allowing the consequences of synthetic decisions to be described in terms of changes in small-molecule profiles. Mining such data in the context of chemical structure and synthesis strategies can inform decisions about chemistry procurement and library development, leading to optimal small-molecule screening collections.

Indexed as

ChemistryGenomicsPhenotypeAnimalsCellsHumansProteomicsSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

PMID19825513
PMCPMC2787914

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.