Evidence map›Paper›PMID 28894419›Full record

ArticleFrontiers in pharmacology2017

Molecular Connectivity Predefines Polypharmacology: Aliphatic Rings, Chirality, and sp

Stefania Monteleone, Julian E Fuchs, Klaus R Liedl

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Cross-Electrophile Coupling ofJournal of the American Chemical Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Diversity Oriented Clicking for Modular Synthesis.Nature reviews. Methods primers · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Enantioselective synthesis ofChemical science · 2019
    Article
  15. Article
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

3 authors.

Stefania MonteleoneInstitute of General, Inorganic and Theoretical Chemistry, Center of Molecular Biosciences, University of InnsbruckInnsbruck, Austria.
Julian E FuchsInstitute of General, Inorganic and Theoretical Chemistry, Center of Molecular Biosciences, University of InnsbruckInnsbruck, Austria.
Klaus R LiedlInstitute of General, Inorganic and Theoretical Chemistry, Center of Molecular Biosciences, University of InnsbruckInnsbruck, Austria.

Funding

Austrian Science Fund FWF P 23051
6 · The paper itself

Abstract

Dark chemical matter compounds are small molecules that have been recently identified as highly potent and selective hits. For this reason, they constitute a promising class of possible candidates in the process of drug discovery and raise the interest of the scientific community. To this purpose, Wassermann et al. (2015) have described the application of 2D descriptors to characterize dark chemical matter. However, their definition was based on the number of reported positive assays rather than the number of known targets. As there might be multiple assays for one single target, the number of assays does not fully describe target selectivity. Here, we propose an alternative classification of active molecules that is based on the number of known targets. We cluster molecules in four classes: black, gray, and white compounds are active on one, two to four, and more than four targets respectively, whilst inactive compounds are found to be inactive in the considered assays. In this study, black and inactive compounds are found to have not only higher solubility, but also a higher number of chiral centers, sp

Indexed as

chemical propertiesdark chemical matterdrug discoverydrug repurposingmolecular descriptorsoff-targetsscreening library designstereochemistry

Identifiers

PMID28894419
PMCPMC5581349

What OpenQuestion holds

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LicenceCC BY
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.