Related Experiment Video
Updated: Jul 18, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Lipoxygenase inhibitors: a comparative QSAR study review and evaluation of new QSARs
Eleni Pontiki1, Dimitra Hadjipavlou-Litina
1Department of Pharmaceutical Chemistry, School of Pharmacy, Aristotelian University of Thessaloniki, Thessaloniki 54124, Greece.
Abstract:
This paper contains a quantitative structure activity relationship (QSAR) study for lipoxygenase (LO) inhibitors. It reveals that in almost all cases, the clog P parameter plays an important part in the QSARs (linear or bilinear model). In some cases the steric factors such as the overall molar refractivity (CMR) or the substituents molar refractivity (MR) (linear or parabola) are important. Electronic effects are comparatively unimportant. The study shows that log P as calculated from the Clog P program is suitable for this form of QSAR study.
More Related Videos
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
14:34A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
Published on: April 3, 2026