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Linear discriminant and multiple regression analyses of anticoccidial triazines
J W McFarland1, C B Cooper, D M Newcomb
1Central Research Division, Pfizer Inc., Groton, Connecticut 06340.
Journal of Medicinal Chemistry
|June 1, 1991
Summary
Researchers explored quantitative structure-activity relationships for anticoccidial compounds using multiple regression analysis (MRA) and linear discriminant analysis (LDA). While these methods showed some correlation with potency, they did not yield highly accurate predictions for new drug development.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Parasitology
Background:
- Coccidiosis is a significant parasitic disease affecting livestock, necessitating the development of effective anticoccidial agents.
- Understanding the relationship between chemical structure and biological activity is crucial for designing potent therapeutic compounds.
Purpose of the Study:
- To investigate the quantitative structure-activity relationships (QSAR) of 2-(substituted-phenyl)-1,2,4-triazine-3,5-(2H,4H)-diones as potential anticoccidial agents.
- To identify key molecular descriptors that correlate with the anticoccidial potency of these compounds.
Main Methods:
- Utilized multiple regression analysis (MRA), a Hansch approach, to correlate compound potency with physicochemical properties.
- Employed linear discriminant analysis (LDA) to classify compounds based on their potency and identify predictive descriptors.
- Used reverse-phase HPLC retention times and 1H NMR chemical shifts as molecular descriptors.
Main Results:
- MRA revealed significant correlations between potency and HPLC retention times/1H NMR chemical shifts, but the predictive power (R2=0.56) was moderate.
- LDA indicated that these descriptors are related to potency, though the discriminant function did not achieve accurate classification.
- Graphical representation of LDA results provided insights into synthetic strategies for enhancing potency.
Conclusions:
- While MRA and LDA offer insights into structure-activity relationships for these anticoccidial triazinediones, they have limitations in accurate prediction and classification.
- Additional unidentified factors likely influence the anticoccidial potency of these compounds.
- Further research is needed to identify all relevant factors for the rational design of highly potent anticoccidial drugs.