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|Type:||Artigo de periódico|
|Title:||Pattern Recognition And Neural Networks Applied To Structure-activity Relationships Of Neolignans Tested Against Leishmania Amazonensis Using Quantum Chemical And Topological Descriptors|
|Abstract:||Pattern recognition (PR) and neural networks (NN) were applied to structure-activity relationship studies of a series of neolignans tested against Leishmania amazonensis. Comparison of NN with PR methods revealed that the capability of the two methods are similar to classify the molecules in the different categories, but it was found that K-nearest neighbors and NN are superior to SIMCA in the activity prevision of a new set of compounds. The applicability of these methods using quantum chemical descriptors and topological indices were investigated.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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