Correlation Studies of HEPT Derivatives Using Swarm Intelligence and Support Vector Machines

Summary.Two novel algorithms based on particle swarm optimization (PSO) and support vector machine (SVM) have been employed to obtain predictive QSAR models of anti-HIV-1 activity of HEPT derivatives. The results obtained by using the adopted PSO and SVM for structure-activity correlation determination were in close agreement with previous multiple linear regression models, which are reasonably satisfying, based on both statistical significance and predictive ability.

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