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

机译:Ezqsar:直接从结构中开发QSAR模型的R包

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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 viahttps://github.com/shamsaraj/ezqsar, and it runs on Linux and MS-Windows.
机译:背景:定量结构活度关系(QSAR)对于初学者来说是一种困难的计算化学方法,对于更有经验的研究人员来说是一种耗时的方法。方法和材料:此处介绍的Ezqsar解决了这两个问题。它考虑了具有可靠的QSAR模型的重要步骤。除了使用CDK库计算描述符外,还删除了高度相关的描述符,将提供的数据集划分为训练集和测试集,通过统计方法选择描述符,给出模型的统计参数并研究适用性域。 ,该模型可用于预测潜在的额外分子集,以进行潜在客户优化或虚拟筛选。实例演示了性能。结论:R软件包ezqsar可通过https://github.com/shamsaraj/ezqsar免费获得,它可在Linux和MS-Windows上运行。

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