ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches

2019 ◽  
Vol 59 (11) ◽  
pp. 4587-4601 ◽  
Author(s):  
Zhenxing Wu ◽  
Tailong Lei ◽  
Chao Shen ◽  
Zhe Wang ◽  
Dongsheng Cao ◽  
...  
1999 ◽  
Vol 20 (11) ◽  
pp. 432-438 ◽  
Author(s):  
Harry V Gelboin ◽  
Kristopher W Krausz ◽  
Frank J Gonzalez ◽  
Tian J Yang

Xenobiotica ◽  
2009 ◽  
Vol 00 (00) ◽  
pp. 090901052457079-8
Author(s):  
Y. Nishiya ◽  
K. Hagihara ◽  
A. Kurihara ◽  
N. Okudaira ◽  
N.A. Farid ◽  
...  

2020 ◽  
Vol 16 (1) ◽  
pp. 63-73 ◽  
Author(s):  
Rishabh Kaushik ◽  
Sheeza Khan ◽  
Meesha Sharma ◽  
Srinivasan Hemalatha ◽  
Zeba Mueed ◽  
...  

Prostate cancer has become a global health concern as it is one of the leading causes of mortality in males. With the emerging drug resistance to conventional therapies, it is imperative to unravel new molecular targets for disease prevention. Cytochrome P450 (P450s or CYPs) represents a unique class of mixed-function oxidases which catalyses a wide array of biosynthetic and metabolic functions including steroidogenesis and cholesterol metabolism. Several studies have reported the overexpression of the genes encoding CYPs in prostate cancer cells and how they can be used as molecular targets for drug discovery. But due to functional redundancy and overlapping expression of CYPs in several other metabolic pathways there are several impediments in the clinical efficacy of the novel drugs reported till now. Here we review the most crucial P450 enzymes which are involved in prostate cancer and how they can be used as molecular targets for drug discovery along with the clinical limitations of the currently existing CYP inhibitors.


1995 ◽  
Vol 270 (10) ◽  
pp. 5014-5018 ◽  
Author(s):  
Aditya P. Koley ◽  
Jeroen T. M. Buters ◽  
Richard C. Robinson ◽  
Allen Markowitz ◽  
Fred K. Friedman

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