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Ezqsar: An R Package for Developing QSAR Models Directly From Structures

BACKGROUND: Quantitative Structure Activity Relationship (QSAR) is a difficult computational chemistry approach for beginner scientists and a time consuming one for even more experienced researchers. METHOD AND MATERIALS: Ezqsar which is introduced here addresses both the issues. It considers import...

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Detalles Bibliográficos
Autor principal: Shamsara, Jamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5748834/
https://www.ncbi.nlm.nih.gov/pubmed/29387275
http://dx.doi.org/10.2174/1874104501711010212
Descripción
Sumario:BACKGROUND: Quantitative Structure Activity Relationship (QSAR) is a difficult computational chemistry approach for beginner scientists and a time consuming one for even more experienced researchers. METHOD AND MATERIALS: Ezqsar which is introduced here addresses both the issues. It considers important steps to have a reliable QSAR model. Besides calculation of descriptors using CDK library, highly correlated descriptors are removed, a provided data set is divided to train and test sets, descriptors are selected by a statistical method, statistical parameter for the model are presented and applicability domain is investigated. RESULTS: Finally, the model can be applied to predict the activities for an extra set of molecules for a purpose of either lead optimization or virtual screening. The performance is demonstrated by an example. CONCLUSION: The R package, ezqsar, is freely available via https://github.com/shamsaraj/ezqsar, and it runs on Linux and MS-Windows.