Related Experiment Video
Updated: Jun 20, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Quantitative structure-activity relationship studies on 2-amino-6-arylsulfonylbenzonitriles as human immunodeficiency
Bahram Hemmateenejad1, Razieh Sabet, Afshin Fassihi
1Department of Chemistry, Shiraz University, 71454 Shiraz, Iran. hemmatb@sums.ac.ir
Abstract:
The human immunodeficiency viruses type 1 reverse transcriptase is a major target for drug development. Inhibition of this enzyme has been one of the primary therapeutic strategies in suppressing the replication of human immunodeficiency viruses type 1. A series of 2-amino-6-arylsulfonylbenzonitrile derivatives was subjected to quantitative structure-activity relationship analysis. The newly proposed substituent electronic descriptors were investigated for quantitative structure-activity relationship modeling of the compounds and a comparison was made with the conventional molecular descriptors. Two chemometrics methods including multiple linear regressions and partial least squares combined with genetic algorithm for variable selection were employed to make connections between structural parameters and enzyme inhibition. The results revealed the significant roles of topological, geometrical and substituent electronic descriptor parameters on the human immunodeficiency viruses type 1 reverse transcriptase inhibitory activity of the studied molecules. The selected substituent electronic descriptor parameters revealed that more electronegative and less polar substituents as meta position and more electrophile substituents as para positions are favorable for higher activity. It was found that electronic descriptors calculated for substituents (substituent electronic descriptor parameters) could explain 80% of variances in the biological activity data. The most significant quantitative structure-activity relationship model, obtained by partial least squares combined with genetic algorithm, could explain and predict 90% and 85% of variances in the pIC(50) data, respectively.
More Related Videos
Related Concept Videos
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...
Antiviral Nucleoside Inhibitors
Adrenergic Agonists: Chemistry and Structure-Activity Relationship
Aromatic ring substitutions: Substituting the aromatic ring with –OH groups at positions 3 and 4 yields catecholamines (e.g., epinephrine), which have a high affinity for adrenoceptors. Hydrogen bonding between –OH groups and receptors enhances adrenergic activity.
Separation of the aromatic...
Quantitative Aspects of Drug-Receptor Interaction
Indirect-Acting Cholinergic Agonists: Chemistry and Structure-Activity Relationship
Reversible inhibitors display short to medium durations of action. Short-acting agents include simple alcohols with...
Inhibitors of Virion Maturation and Assembly

