Related Experiment Video
Updated: Apr 23, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
Published on: April 12, 2019
Multiscale quantum chemical approaches to QSAR modeling and drug design
Pier G De Benedetti1, Francesca Fanelli1
1Department of Life Sciences, University of Modena and Reggio Emilia, via Campi 183, 41125 Modena, Italy.
None:
The comparative use of classical, quantum chemical (QC) ligand-based (LB) and structure-based (SB) quantitative structure-activity relationship (QSAR) results in a detailed and mechanistic-causative description, at different scales (multiscale: classical=macroscopic, LB and SB=electronic-atomistic-nanoscale) and resolution levels, of the energetics and thermodynamics of the binding event for a congeneric set of ligands and/or drugs. QC interaction propensity (reactivity) descriptors in LB QSARs provide an implicitly more accurate estimation of the enthalpic contribution to ligand-target interactions compared with classical QSAR. As for QSAR models from ab initio SB fragment molecular orbital calculations, an explicit enthalpic description of the different additive terms in the computed binding energy is obtainable. Moreover, it is possible to estimate the difference in the free energy change of the ligand-target complex formation and evaluate, on a correlative basis, the contribution of each additive free energy term to the total value.
More Related Videos
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
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...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Quantitative Aspects of Drug-Receptor Interaction
Pharmacodynamic Models: Overview
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.