Quantitative structure-activity relationship and drug design.

Unbalance Quantitative Structure Activity Relationship Problem Reduction in Drug Design

Problem statement: Activities of drug molecules can be predicted by Quantitative Structure Activity Relationship (QSAR) models, which overcome the disadvantage of high cost and long cycle by employing traditional experimental methods. With the fact that number of drug molecules with positive activity is rather fewer than that with negatives, it is important to predict molecular activities consi...

Advancing Quantitative Structure Activity Relationship Strategies in Ligand-based Computer-aided Drug Design

Recent Applications of Quantitative Structure-Activity Relationships in Drug Design

One of the most important challenges that face medicinal chemists today is the design of new drugs with improved properties and diminished side-effects for treating human disease such as AIDS and others. Medicinal chemists began the process by taking a lead structure and then finding analogs exhibiting the preferred biological activities. Next, they used their experience and chemical insight to...

Quantitative structure activity relationship study of inhibitory activities of 5-lipoxygenase and design new compounds by different chemometrics methods

A quantitative structure-activity relationship (QSAR) study was conducted for the prediction of inhibitory activity of 1-phenyl[2H]-tetrahydro-triazine-3-one analogues as inhibitors of 5-Lipoxygenase. The inhibitory activities of the 1-phenyl[2H]-tetrahydro-triazine-3-one analogues modeled as a function of molecular structures using chemometrics methods such as multiple linear regression (MLR) ...

Quantitative structure-activity relationship of some pesticides.

Herbicides (benzodiazepinediones), insecticides (dioxatricyclododecenes) and larvicides (N-oxalyl derivatives of tebufenozide) have been quantitatively investigated to explore the relationship between the molecular structure and their biological activity using molecular operating environment (MOE) software. The study provides good predictive models, cross-validated by leave-out-one method (Loo)...