In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization

The QSAR models are employed to predict the anti-proliferative activity of 81 derivatives of flavonol against prostate cancer using the Monte Carlo algorithm based on the index of ideality of correlation (IIC) criterion. CORAL software is employed to design the QSAR models. The molecular structures...

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Detalles Bibliográficos
Autores principales: Tajiani, Faezeh, Ahmadi, Shahin, Lotfi, Shahram, Kumar, Parvin, Almasirad, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373329/
https://www.ncbi.nlm.nih.gov/pubmed/37496005
http://dx.doi.org/10.1186/s13065-023-00999-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373329/
https://www.ncbi.nlm.nih.gov/pubmed/37496005
http://dx.doi.org/10.1186/s13065-023-00999-y

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