Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Analysing the output from primary screening.

Dawn Nowlin1, Patrick Bingham, Andrew Berridge

  • 1Discovery Technologies-High Throughput Screening, La Jolla, USA. Dawn.Nowlin@pfizer.com

Combinatorial Chemistry & High Throughput Screening
|June 22, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment framework.

Frontiers in digital health·2026
Same author

Standardized workflow enables reproducibility of drug synergism detection: Results from a multi-center in vitro ring test on complex drug combinations in pancreatic cancer models.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Human organoids: Fit for drug discovery?

Stem cell reports·2026
Same author

Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis.

Patterns (New York, N.Y.)·2026
Same author

The COMBINE pneumonia model: a multicenter study to standardize a mouse pneumonia model with <i>Pseudomonas aeruginosa</i> and <i>Klebsiella pneumoniae</i> for antibiotic development.

Microbiology spectrum·2026
Same author

From library to landscape: integrative annotation workflows for compound libraries in drug repurposing.

Database : the journal of biological databases and curation·2025
Same journal

Integrated Multi-Omics Identification of Novel Diagnostic Biomarkers and Immunometabolic Therapeutic Targets in Osteoporosis via Machine Learning.

Combinatorial chemistry & high throughput screening·2026
Same journal

Exploration and Prospects of Core Research Hotspots in the Mechanisms of Traditional Chinese Medicine for Treating Digestive System Malignancies Based on Bibliometrics.

Combinatorial chemistry & high throughput screening·2026
Same journal

Investigating the Potential Pharmacological Mechanisms of Huangqi in Allergic Rhinitis Using Network Pharmacology and Molecular Docking Strategies.

Combinatorial chemistry & high throughput screening·2026
Same journal

DNMT3A-driven Clonal Expansion of Hematopoiesis Influences Autoimmunity Mediated by Distinct Immune Cell Populations: A Mendelian Randomization Study.

Combinatorial chemistry & high throughput screening·2026
Same journal

UPLC-Q-TOF-MS/MS Combined with Network Pharmacology and Molecular Docking Revealed the Mechanism of Zhi Ke He Ji Oral Solution for the Treatment of Pneumonia.

Combinatorial chemistry & high throughput screening·2026
Same journal

Analysis of Chemical Components and Pharmacological Activities of Different Processing Methods in Magnolia denudata Desr. 'Hailuo' Using GC-MS and Network Pharmacology.

Combinatorial chemistry & high throughput screening·2026
See all related articles

Analyzing over 73,000 compounds from 63 high-throughput screening (HTS) campaigns reveals trends in active compounds. This process-centric view optimizes biological screening strategies and enhances drug discovery efforts.

Area of Science:

  • Drug discovery and development
  • Medicinal chemistry
  • Pharmacology

Background:

  • Biological screening is crucial for identifying potential drug candidates.
  • Analyzing screening results solely on a project basis limits strategic optimization.
  • A process-centric approach can enhance the understanding of compound populations.

Purpose of the Study:

  • To analyze trends in active compounds from multiple high-throughput screening (HTS) campaigns.
  • To demonstrate the value of a process-centric view for optimizing screening strategies.
  • To investigate the physico-chemical profiles of compounds identified through biological screening.

Main Methods:

  • Analysis of 73,651 compounds with reproducible results from 63 HTS campaigns.
  • Focus on the physico-chemical properties of active compound populations.

Related Experiment Videos

  • Cross-project data aggregation for trend identification.

    • Main Results:

    • Identified underlying trends within the population of active compounds.
    • Highlighted the importance of physico-chemical properties for in vivo activity.
    • Demonstrated that a process-centric analysis provides deeper insights than project-specific outcomes.

    Conclusions:

    • Summarizing outcomes across multiple projects enhances understanding of biological screening.
    • A process-centric view enables optimization of screening strategies for specific targets or compound classes.
    • Physico-chemical profiling is key to understanding and predicting drug molecule activity.