Evidence map›Paper›PMID 25592319›Full record

ReviewEuropean journal of pharmacology2015

High-throughput analysis of behavior for drug discovery.

Vadim Alexandrov, Dani Brunner, Taleen Hanania, Emer Leahy

Open access · greenAbstract readReview
In one paragraph

Review in European journal of pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

37 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
  2. Article
  3. Navigating Drug Discovery for Myhre Syndrome: The Complexity of a Multisystemic Rare Disease.American journal of medical genetics. Part C, Seminars in medical genetics · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Advancements in Drug Repurposing: Examples in Psychiatric Medications.International journal of molecular sciences · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Vadim AlexandrovPsychoGenics Inc., Tarrytown, New York, USA.
Dani BrunnerPsychoGenics Inc., Tarrytown, New York, USA. Electronic address: info@psychogenics.com.
Taleen HananiaPsychoGenics Inc., Tarrytown, New York, USA.
Emer LeahyPsychoGenics Inc., Tarrytown, New York, USA.
Psychogenics (United States) · US

Funding

Highthroughput analysis of behavior for CNS applicationsR44MH066659 · NIMH · PSYCHOGENICS, INC. · PI BRUNNER, DANIELA · 2002 to 2004
$1.1M
Higher Throughput Behavioral Screening of Cognitive EnhancersR43MH076342 · NIMH · PSYCHOGENICS, INC. · PI BRUNNER, DANIELA · 2006 to 2007
$400k
Spinal Cord Injury: Automatic Scoring of Motor FunctionR43NS046980 · NINDS · PSYCHOGENICS, INC. · PI BRUNNER, DANIELA · 2003 to 2003
$235k
NIMH NIH HHS R43 MH076342NIMH NIH HHS R44 MH066659NINDS NIH HHS R43 NS046980
6 · The paper itself

Abstract

Drug testing with traditional behavioral assays constitutes a major bottleneck in the development of novel therapies. PsychoGenics developed three comprehensive high-throughput systems, SmartCube(®), NeuroCube(®) and PhenoCube(®) systems, to increase the efficiency of the drug screening and phenotyping in rodents. These three systems capture different domains of behavior, namely, cognitive, motor, circadian, social, anxiety-like, gait and others, using custom-built computer vision software and machine learning algorithms for analysis. This review exemplifies the use of the three systems and explains how they can advance drug screening with their applications to phenotyping of disease models, drug screening, selection of lead candidates, behavior-driven lead optimization, and drug repurposing.

Indexed as

AnimalsBehaviorDisease ProgressionDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysHumansPhenotypeAnimal modelsCNSComputer visionDrug screeningHigh-throughputMachine learningNeuroCubePhenoCubePreclinical researchSmartcubeSocial behavior

Identifiers

PMID25592319
PMCPMC4552324
OpenAlexW2068289911

What OpenQuestion holds

Textmetadata
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.