Evidence map›Paper›PMID 25415348›Full record

ArticleJournal of medicinal chemistry2015

Parallel worlds of public and commercial bioactive chemistry data.

Christopher A Lipinski, Nadia K Litterman, Christopher Southan, Antony J Williams, Alex M Clark, Sean Ekins

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2015. 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. Review
  3. Article
  4. Article
  5. DenovoProfiling: A webserver forComputational and structural biotechnology journal · 2022
    Article
  6. Will the chemical probes please stand up?RSC medicinal chemistry · 2021
    Article
  7. Article
  8. Review
  9. Data Mining and Computational Modeling of High-Throughput Screening Datasets.Methods in molecular biology (Clifton, N.J.) · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Tales from the war on error: the art and science of curating QSAR data.Journal of computer-aided molecular design · 2015
    Article
  14. Review
  15. 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

6 authors.

Christopher A LipinskiChristopher A. Lipinski, Ph.D., LLC , 10 Connshire Drive, Waterford, Connecticut 06385-4122, United States.
Nadia K Litterman
Christopher Southan
Antony J Williams
Alex M Clark
Sean Ekins

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of structures and linked bioactivity data in databases is powerfully enabling for drug discovery and chemical biology. However, we now review some confounding issues with the divergent expansions of public and commercial sources of chemical structures. These are associated with not only expanding patent extraction but also increasingly large vendor collections amassed via different selection criteria between SciFinder from Chemical Abstracts Service (CAS) and major public sources such as PubChem, ChemSpider, UniChem, and others. These increasingly massive collections may include both real and virtual compounds, as well as so-called prophetic compounds from patents. We address a range of issues raised by the challenges faced resolving the NIH probe compounds. In addition we highlight the confounding of prior-art searching by virtual compounds that could impact the composition of matter patentability of a new medicinal chemistry lead. Finally, we propose some potential solutions.

Indexed as

Chemistry, PharmaceuticalDatabases, FactualComputational BiologyDrug DiscoveryHumansInformation Storage and RetrievalPatents as TopicPharmaceutical PreparationsStructure-Activity RelationshipPharmaceutical Preparations

Identifiers

PMID25415348
PMCPMC4360371

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.