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Quantitative Structure-Activity Relationship Model for HCVNS5B inhibitors based on an Antlion Optimizer-Adaptive Neuro-Fuzzy Inference System
The global prevalence of hepatitis C Virus (HCV) is approximately 3% and one-fifth of all HCV carriers live in the Middle East, where Egypt has the highest global incidence of HCV infection. Quantitative structure-activity relationship (QSAR) models were used in many applications for predicting the...
Autores principales: | Elaziz, Mohamed Abd, Moemen, Yasmine S., Hassanien, Aboul Ella, Xiong, Shengwu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784174/ https://www.ncbi.nlm.nih.gov/pubmed/29367667 http://dx.doi.org/10.1038/s41598-017-19122-y |
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