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QSAR study on phosphoramidothioate (Ace) toxicities in housefly
Vijay K Agrawal1, Shachi Srivastava, Padmakar V Khadikar
1QSAR and Computer Chemical Laboratories, APS University, Rewa, India. vijay-agrawal@lycos.com
Molecular Diversity
|December 23, 2004
Summary
Quantitative structure-activity relationships (QSARs) were developed for phosphoramidothioate analogs. These models accurately predict acetylcholinesterase inhibition and housefly toxicity using topological and information theoretic indices.
Area of Science:
- * Cheminformatics and computational toxicology.
- * Molecular modeling and quantitative structure-activity relationships (QSARs).
Background:
- * Phosphoramidothioates, including Ace II analogs, are compounds of interest for their biological activity.
- * Understanding the relationship between chemical structure and biological activity is crucial for designing safer and more effective compounds.
Purpose of the Study:
- * To formulate quantitative structure-activity relationships (QSARs) for phosphoramidothioate (Ace II) analogs.
- * To identify key molecular descriptors governing the inhibition of fly-acetylcholinesterase and the toxicity (LD50) of these compounds.
- * To model the lipophilicity of the studied phosphoramidothioates.
Main Methods:
- * Development of QSAR models using distance-based topological and information theoretic indices.
- * Analysis of kinetic parameters (k(e)) for acetylcholinesterase inhibition.
- * Determination of median lethal dose (LD50) values for housefly toxicity.
- * Validation of model predictive ability using cross-validation techniques.
Main Results:
- * QSAR models incorporating topological and information theoretic indices accurately predicted Ace II analog activity.
- * The models successfully explained variations in acetylcholinesterase inhibition (k(e)) and housefly LD50.
- * Lipophilicity of the phosphoramidothioates was also effectively modeled.
- * Excellent predictive results were achieved across all developed models.
Conclusions:
- * Distance-based topological and information theoretic indices are effective predictors for phosphoramidothioate analog activity.
- * The developed QSAR models provide valuable insights into the structure-activity relationships of Ace II analogs.
- * These findings can guide the design of novel phosphoramidothioates with improved efficacy and safety profiles.