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Physicochemical descriptors in property-based drug design.
1Department of Computer-Aided Molecular Design, Institute of Physiologically Active Compounds of Russian Academy of Sciences, 142432, Chernogolovka, Moscow region, Russia. raevsky@ipac.ac.ru.
Mini Reviews in Medicinal Chemistry
|December 8, 2004
Summary
Physicochemical properties like lipophilicity and solubility significantly impact drug absorption. Advanced methods combining structural features and Quantitative Structure-Activity Relationship (QSAR) are needed for accurate predictions.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Computational Chemistry
- Medicinal Chemistry
Background:
- Physicochemical properties (lipophilicity, solubility, absorption) are crucial for oral drug bioavailability.
- Partitioning in octanol/water systems involves a balance between molecular volume and hydrogen bond acceptor ability.
- Predicting solid compound solubility is challenging due to crystal lattice energy estimation.
Purpose of the Study:
- To analyze the contribution of physicochemical descriptors to drug lipophilicity, water solubility, and intestinal absorption.
- To evaluate the limitations of classic Quantitative Structure-Activity Relationship (QSAR) approaches for diverse drug molecules.
- To explore combined Similarity and QSAR approaches for improved predictive modeling.
Main Methods:
- Analysis of octanol/water partitioning, considering volume and hydrogen bond acceptor/donor abilities.
- Investigation of factors influencing water solubility, including liquid and solid compound properties.
- Correlation of human intestinal absorption with hydration processes and hydrogen bonding.
- Assessment of traditional QSAR models incorporating melting point and H-bond parameters.
Main Results:
- Lipophilicity is influenced by volume and hydrogen bond acceptor ability.
- Water solubility correlates with reciprocal logP and is affected by H-bond donor ability.
- Crystal lattice energy is a major hurdle in predicting solid drug solubility.
- Human intestinal absorption is strongly linked to hydration, determined by H-bond donor/acceptor capacities.
- Classic QSAR models are insufficient for diverse drug predictions.
Conclusions:
- Structural features significantly influence drug physicochemical properties.
- Predictive models for diverse drugs require more than classic QSAR approaches.
- Combining Similarity and QSAR methods offers a promising strategy for comprehensive drug property prediction.