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

Statistical tools for virtual screening.

Jennifer R Krumrine1, Andrew T Maynard, Charles L Lerman

  • 1Computational Chemistry & Informatics, Department of Chemistry, AstraZeneca Pharmaceuticals LP, 1800 Concord Pike, Wilmington, Delaware 19850-5437, USA.

Journal of Medicinal Chemistry
|November 11, 2005
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

Small molecule inhibition of RAS/MAPK signaling ameliorates developmental pathologies of Kabuki Syndrome.

Scientific reports·2018
Same author

Quantifying, Visualizing, and Monitoring Lead Optimization.

Journal of medicinal chemistry·2015
Same author

2,6-Disubstituted pyrazines and related analogs as NR2B site antagonists of the NMDA receptor with anti-depressant activity.

Bioorganic & medicinal chemistry letters·2011
Same author

Calculation and application of activity discriminants in lead optimization.

Journal of molecular graphics & modelling·2010
Same author

NovoFLAP: A ligand-based de novo design approach for the generation of medicinally relevant ideas.

Journal of chemical information and modeling·2010
Same author

De novo design of a picomolar nonbasic 5-HT(1B) receptor antagonist.

Journal of medicinal chemistry·2010
Same journal

Novel Dual Soft Drug Strategy Enables Development of Topical Androgen Receptor Antagonists with Enhanced Efficacy and Optimized Safety for Androgenetic Alopecia.

Journal of medicinal chemistry·2026
Same journal

Design, Synthesis, and Biological Evaluation of Novel PAK1/HDAC10 Dual Inhibitors That Activate Antitumor Immunity for Triple-Negative Breast Cancer Treatment.

Journal of medicinal chemistry·2026
Same journal

Conformationally Tuned Cyclic RGD Peptides for Integrin-Subtype-Selective PET/CT Imaging.

Journal of medicinal chemistry·2026
Same journal

RIMTAC: A Novel Degrader Design Platform by Indirect VHL-Recruitment via RIPK1.

Journal of medicinal chemistry·2026
Same journal

Structure-Activity Relationship of Cycling Molecular Assemblies for Golgi Targeting and Disruption.

Journal of medicinal chemistry·2026
Same journal

Rational Design of Diaryl Ether-Based Dual Inhibitors Targeting Successive Essential Enzymes HadAB and InhA in <i>Mycobacterium tuberculosis</i>.

Journal of medicinal chemistry·2026
See all related articles

This study introduces two statistical methods to improve virtual screening (VS) by prioritizing potential drug leads and reducing large compound databases. These techniques enhance the efficiency of identifying promising compounds for experimental testing.

Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Large-scale virtual screening (VS) campaigns generate vast amounts of data for millions of compounds.
  • Prioritizing VS hits and assessing true/false positives remain significant challenges in drug discovery.

Purpose of the Study:

  • To present novel statistical methods for mining large chemical databases.
  • To improve the prioritization of hits from virtual screening campaigns.
  • To offer alternatives to traditional property-based filters for database reduction.

Main Methods:

  • Development of a general scoring metric based on the signal-to-noise level within a compound's neighborhood.
  • Implementation of a neighborhood-based sampling strategy for reducing database size.

Related Experiment Videos

Main Results:

  • The proposed scoring metric effectively assesses the reliability of VS signals.
  • The sampling strategy offers an alternative to property-based filters for efficient database mining.
  • Both methods aim to enhance the accuracy and efficiency of lead identification in large-scale VS.

Conclusions:

  • The presented statistical methods provide robust tools for analyzing large virtual screening datasets.
  • These approaches can significantly aid in prioritizing compounds for experimental validation and optimizing drug discovery pipelines.