ANTIMICROBIAL ACTIVITY CHARACTERIZATION IN A HETEROGENEOUS GROUP OF COMPOUNDS

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The s tructural descriptors utilized are the topological connectivity indexe s. The methods followed are stepwise linear discriminant analysis (lin ear analysis) and artificial neural network (nonlinear analysis). Alth ough both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, mo re adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.