Evidence map›Paper›PMID 21959288›Full record

ReviewNature reviews. Drug discovery2011

The influence of the 'organizational factor' on compound quality in drug discovery.

Paul D Leeson, Stephen A St-Gallay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Lipophilicity Modulations by Fluorination Correlate with Membrane Partitioning.Angewandte Chemie (International ed. in English) · 2023
    Article
  6. TheACS medicinal chemistry letters · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Setting Our Sights on Infectious Diseases.ACS infectious diseases · 2020
    Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Molecular Property Design: Does Everyone Get It?ACS medicinal chemistry letters · 2015
    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

2 authors.

Paul D LeesonAstraZeneca R&D Charnwood, Bakewell Road, Loughborough, Leicestershire LE11 5RH, UK. paul.leeson@virgin.net
Stephen A St-Gallay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physicochemical properties such as lipophilicity and molecular mass are known to have an important influence on the absorption, distribution, metabolism, excretion and toxicity (ADMET) profile of small-molecule drug candidates. To assess the use of this knowledge in reducing the likelihood of compound-related attrition, the molecular properties of compounds acting at specific drug targets described in patents from leading pharmaceutical companies during the 2000-2010 period were analysed. Over the past decade, there has been little overall change in properties that influence ADMET outcomes, but there are marked differences in molecular properties between organizations, which are maintained when the targets pursued are taken into account. The target-unbiased molecular property differences, which are attributable to divergent corporate drug design strategies, are comparable to the differences between the major drug target classes. On the basis of our analysis, we conclude that a substantial sector of the pharmaceutical industry has not modified its drug design practices and is still producing compounds with suboptimal physicochemical profiles.

Indexed as

AbsorptionAnimalsChemical PhenomenaDrug DiscoveryDrug IndustryHumansPharmaceutical PreparationsSolubilityPharmaceutical Preparations

Identifiers

PMID21959288

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.