Quantitative Structure Activity Relationship Studies of Some New 4-Thiazolidinone Derivatives as Antimicrobial Agents
Abstract
In the present study, quantitative structure activity relationship (QSAR) studies have beenperformed on series of 24 compounds of 4-thiazolidinone derivatives with antimicrobialactivity using Chemoffice version 8.0 software. The QSAR models have been developed byusing multiple linear regressions in order to identify descriptors, which are actually focusingtowards the biological activity. Leave one out (LOO) method was employed in crossvalidation analysis to validate the developed model. The best predictive QSAR model derived,had r2cv of 0.76, non-cross validated r2 of 0.9, and predictive r2 for test set 0.87. The modelreveals that some multidimensional steric factors and electronic factors like HF (heat offormation), PMI-Y (principle moment of inertia-Y axis), D2 (Dipole energy) and electronicenergy show strong correlation with biological activity. These models are expected to beuseful as antimicrobial agents. Training set was formed by selecting 19 compounds fromoriginal series. Test set compounds were selected randomly. The validation techniques utilizedin this work illustrate the accuracy and robustness of the constructed model by calculating itsfitness on training and test set.Keywords: 4-thiazolidinoneantimicrobial agentsderivatives,quantitativestructureactivityrelationship,Blessy Jacob, Bisht Lata K, VineethChandy. Quantitative Structure ActivityRelationship Studies of Some New 4-ThiazolidinoneDerivativesasAntimicrobial Agents. Research andReviews: A Journal of PharmaceuticalScience. 2017; 8(2): 1–3p.Downloads
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