Evidence map›Paper›PMID 26479441›Full record

ArticleNature chemical biology2015

Dark chemical matter as a promising starting point for drug lead discovery.

Anne Mai Wassermann, Eugen Lounkine, Dominic Hoepfner, Gaelle Le Goff, Frederick J King, Christian Studer, John M Peltier, Melissa L Grippo, Vivian Prindle, Jianshi Tao and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Advances in artificial intelligence-based technologies for increasing the quality of medical products.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Shedding Light on Dark Chemical Matter: The Discovery of a SARS-CoV-2 MInternational journal of molecular sciences · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Anne Mai WassermannNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Eugen LounkineNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Dominic HoepfnerNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
Gaelle Le GoffNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Frederick J KingNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Christian StuderNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
John M PeltierNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Melissa L GrippoNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Vivian PrindleThe Genomics Institute of the Novartis Research Foundation, San Diego, California, USA.
Jianshi TaoThe Genomics Institute of the Novartis Research Foundation, San Diego, California, USA.
Ansgar SchuffenhauerNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
Iain M WallaceNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Shanni ChenNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Philipp KrastelNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
Amanda Cobos-CorreaNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
Christian N ParkerNovartis Institutes for BioMedical Research Inc., Basel, Switzerland.
John W DaviesNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.
Meir GlickNovartis Institutes for BioMedical Research Inc., Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screening (HTS) is an integral part of early drug discovery. Herein, we focused on those small molecules in a screening collection that have never shown biological activity despite having been exhaustively tested in HTS assays. These compounds are referred to as 'dark chemical matter' (DCM). We quantified DCM, validated it in quality control experiments, described its physicochemical properties and mapped it into chemical space. Through analysis of prospective reporter-gene assay, gene expression and yeast chemogenomics experiments, we evaluated the potential of DCM to show biological activity in future screens. We demonstrated that, despite the apparent lack of activity, occasionally these compounds can result in potent hits with unique activity and clean safety profiles, which makes them valuable starting points for lead optimization efforts. Among the identified DCM hits was a new antifungal chemotype with strong activity against the pathogen Cryptococcus neoformans but little activity at targets relevant to human safety.

Indexed as

Drug DiscoveryHigh-Throughput Screening AssaysAntifungal AgentsCryptococcus neoformansMicrobial Sensitivity TestsMolecular StructureStructure-Activity RelationshipAntifungal Agents

Identifiers

PMID26479441

What OpenQuestion holds

Textmetadata
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.