文章基本信息

标题：Quantitative Structure-Activity Relationship Model for HCVNS5B inhibitors based on an Antlion Optimizer-Adaptive Neuro-Fuzzy Inference System
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作者：Mohamed Abd Elaziz ; Yasmine S. Moemen ; Aboul Ella Hassanien 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：1506
DOI：10.1038/s41598-017-19122-y
语种：English
出版社：Springer Nature
摘要：> ~14). The experimental results showed that the proposed QSAR model obtained acceptable accuracy according to different measures, where [Formula: see text] was 0.952 and 0.923 for the training and testing sets, respectively, using cross-validation, while [Formula: see text] was 0.8822 using leave-one-out (LOO).