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...

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Detalles Bibliográficos
Autores principales: Elaziz, Mohamed Abd, Moemen, Yasmine S., Hassanien, Aboul Ella, Xiong, Shengwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
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

Internet

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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