Abstract:Herein we present results of a quantitative structure-activity relationship (QSAR) study to identify new antileishmaniasic compounds (Leishmania amazonensis) by using a set of more than 2000 0D-2D Dragon´s molecular descriptors and machine learning techniques. A data set of organic chemicals, with antileishmaniasic activity against promastigote forms of the parasite, is used to develop four QSAR models based on k-nearest neighbors, Support Vector Machine, Multi-Layer Perceptron and classification tree techniqu… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.