Related Experiment Video
Updated: Jul 14, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
QSAR of the anticonvulsant enaminones; molecular modeling aspects and other assessments
T L Wilson1, P L Jackson, C D Hanson
1Department of Pharmaceutical Sciences, Howard University, School of Pharmacy, Washington, DC 20059, USA.
Abstract:
The enaminones represent potentially useful agents for the clinical treatment in generalized tonic-clonic seizures (Epilepsia, 1993, 34(6), 1141-1145, Biopharm. Drug Disp. 2003, 397-407). A regression analysis was performed to provide a quantitative structure-activity relationship (QSAR) correlation model for prediction of activity for the anticonvulsant enaminones. Molecular modeling was performed to determine the molecular confluence of the Unverferth model (J. Med. Chem. 1998, 41, 63-73) to the enaminones. Conclusions related to the sodium channel model were assessed.
More Related Videos
08:49Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Related Concept Videos
Quantitative Aspects of Drug-Receptor Interaction
Antiepileptic Drugs: Modulators of Neurotransmitter Release Mediated by SV2A Protein
SV2A is a transmembrane glycoprotein located predominantly in the brain, modulating the release of neurotransmitters for neuronal communication. Both levetiracetam and brivaracetam exhibit a high affinity for...
Antiepileptic Drugs: Potassium Channel Activators
Ezogabine has gained approval as an adjunctive treatment...
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Pharmacodynamic Models: Emax Drug–Concentration Effect Model
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions