Evidence map›Paper›PMID 21916467›Full record

ArticleJournal of medicinal chemistry2011

Chemical structural novelty: on-targets and off-targets.

Emmanuel R Yera, Ann E Cleves, Ajay N Jain

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 5-International journal of molecular sciences · 2021
    Article
  7. Journal of natural products · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. 90 years of monoamine oxidase: some progress and some confusion.Journal of neural transmission (Vienna, Austria : 1996) · 2018
    Review
  12. Article
  13. Article
  14. Article
  15. Extrapolative prediction using physically-based QSAR.Journal of computer-aided molecular design · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Emmanuel R YeraUniversity of California, San Francisco, Department of Bioengineering and Therapeutic Sciences, Helen Diller Family Comprehensive Cancer Center, San Francisco, California 94158, United States.
Ann E Cleves
Ajay N Jain

Funding

Machine Learning in Chemistry and BiologyR01GM070481 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAIN, AJAY N · 2005 to 2013
$2.5M
NIGMS NIH HHS GM070481NIGMS NIH HHS R01 GM070481
6 · The paper itself

Abstract

Drug structures may be quantitatively compared based on 2D topological structural considerations and based on 3D characteristics directly related to binding. A framework for combining multiple similarity computations is presented along with its systematic application to 358 drugs with overlapping pharmacology. Given a new molecule along with a set of molecules sharing some biological effect, a single score based on comparison to the known set is produced, reflecting either 2D similarity, 3D similarity, or their combination. For prediction of primary targets, the benefit of 3D over 2D was relatively small, but for prediction of off-targets, the added benefit was large. In addition to assessing prediction, the relationship between chemical similarity and pharmacological novelty was studied. Drug pairs that shared high 3D similarity but low 2D similarity (i.e., a novel scaffold) were shown to be much more likely to exhibit pharmacologically relevant differences in terms of specific protein target modulation.

Indexed as

Computer SimulationDatabases, FactualDrug DesignModels, MolecularBinding SitesLigandsPharmaceutical PreparationsProteinsQuantitative Structure-Activity RelationshipLigandsPharmaceutical PreparationsProteins

Identifiers

PMID21916467
PMCPMC3188662

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.