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

Structure-activity studies of barbiturates using pattern recognition techniques.

A J Stuper, P C Jurs

    Journal of Pharmaceutical Sciences
    |June 1, 1978
    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

    Pattern Recognition Studies of Complex Chromatographic Data Sets.

    Journal of research of the National Bureau of Standards (1977)·2021
    Same author

    Analysis of chemical signals in a primate species (Saguinus fuscicollis): Use of behavioral, chemical, and pattern recognition methods.

    Journal of chemical ecology·2013
    Same author

    Prediction of reduced ion mobility constants of organic compounds from molecular structure.

    Analytical chemistry·2011
    Same author

    Classification of HIV protease inhibitors on the basis of their antiviral potency using radial basis function neural networks.

    Journal of computer-aided molecular design·2003
    Same author

    Classification of inhibitors of protein tyrosine phosphatase 1B using molecular structure based descriptors.

    Journal of chemical information and computer sciences·2003
    Same author

    Development of binary classification of structural chromosome aberrations for a diverse set of organic compounds from molecular structure.

    Chemical research in toxicology·2003

    Researchers identified key molecular structure descriptors that predict the duration of depressant effects for barbiturates. This structure-activity relationship analysis achieved high predictive accuracy for drug action.

    Area of Science:

    • Medicinal Chemistry
    • Computational Chemistry
    • Pharmacology

    Background:

    • Barbiturates are central nervous system depressants with varying durations of action.
    • Understanding the relationship between molecular structure and pharmacological effect is crucial for drug design.

    Purpose of the Study:

    • To investigate the quantitative structure-activity relationships (QSAR) between molecular structure and the duration of depressant effect in barbiturates.
    • To identify key structural descriptors that predict barbiturate duration.

    Main Methods:

    • A dataset of 160 5,5'-disubstituted barbiturates was compiled.
    • Molecular descriptors, including fragments, substructures, and connectivity indexes, were calculated.
    • Linear discriminant functions and feature selection were employed to identify predictive structural features.

    Related Experiment Videos

    Main Results:

    • A small subset of structural descriptors was sufficient to achieve linear separability for different duration thresholds.
    • Nine, 11, and nine descriptors were identified as sufficient for three specific thresholds.
    • The developed model achieved approximately 94% predictive accuracy for known barbiturates.

    Conclusions:

    • Specific molecular descriptors significantly correlate with the duration of barbiturate depressant effects.
    • The employed QSAR methodology is effective for predicting drug action and can guide future barbiturate design.