Cargando…
QSAR Study of 17β-HSD3 Inhibitors by Genetic Algorithm-Support Vector Machine as a Target Receptor for the Treatment of Prostate Cancer
The 17β-HSD3 enzyme plays a key role in treatment of prostate cancer and small inhibitors can be used to efficiently target it. In the present study, the multiple linear regression (MLR), and support vector machine (SVM) methods were used to interpret the chemical structural functionality against th...
Autores principales: | Pourbasheer, Eslam, Vahdani, Saadat, Malekzadeh, Davood, Aalizadeh, Reza, Ebadi, Amin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610752/ https://www.ncbi.nlm.nih.gov/pubmed/29201087 |
Ejemplares similares
-
QSAR study of HCV NS5B polymerase inhibitors using the genetic algorithm-multiple linear regression (GA-MLR)
por: Rafiei, Hamid, et al.
Publicado: (2016) -
Genetic Variation in the HSD17B1 Gene and Risk of Prostate Cancer
por: Kraft, Peter, et al.
Publicado: (2005) -
Acetylation-mediated degradation of HSD17B4 regulates the progression of prostate cancer
por: Huang, Huichao, et al.
Publicado: (2020) -
THU574 Hsd17b1 Partially Compensates For The Lack Of Hsd17b3 In Testicular Testosterone Production In Fetal Mice, But Not In Adults
por: Poutanen, Matti, et al.
Publicado: (2023) -
Differential but Concerted Expression of HSD17B2, HSD17B3, SHBG and SRD5A1 Testosterone Tetrad Modulate Therapy Response and Susceptibility to Disease Relapse in Patients with Prostate Cancer
por: Bamodu, Oluwaseun Adebayo, et al.
Publicado: (2021)