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7/30/2022 9:48:45 PM 
 

SVM has been explored as a ligand-based virtual screening (VS) tool for facilitating lead discovery. The goal of this method is to create a decision boundary that separates two classes of points according to the active and inactive compounds. A key characteristic of SVM is to reduce the error on training data, minimize the complexity of models and avoid the overfitting with the application of the structural risk minimization approach. SVM for Lead Discovery
 
 


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SVM has been explored as a ligand-based virtual screening (VS) ...