Identification of Novel HCV RNA-dependent RNA polymerase Inhibitors Using Pharmacophore-Guided Virtual Screening

2008 ◽  
Vol 72 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Jinyoung Kim ◽  
Ki-sun Kim ◽  
Dong-Eun Kim ◽  
Youhoon Chong
2012 ◽  
Vol 8 (15) ◽  
pp. 716-719
Author(s):  
Amjesh Revikumar ◽  
Achuthsankar Sukumaran Nair ◽  
Sugunan Vetha Sundaram

2009 ◽  
Vol 17 (8) ◽  
pp. 2975-2982 ◽  
Author(s):  
Kisun Ryu ◽  
Nam Doo Kim ◽  
Seong Il Choi ◽  
Cheol Kyu Han ◽  
Jeong Hyeok Yoon ◽  
...  

2013 ◽  
Vol 06 (01) ◽  
pp. 1250062
Author(s):  
YONG-HONG HU ◽  
BAO-HUA ZHANG

In this paper, we take naturally occurring 2-benzylidenebenzofuran-3-ones (aurones) inhibitors of hepatitis C virus (HCV) RNA-dependent RNA polymerase (RdRp) as an example to study the Multi-dimensional scaling (MDS) method for structure-activity relationship. By analyzing training set molecules, our MDS method combined with a PROXSCAL algorithm can predict inhibitory activity of most compounds correctly. Thus, a new sample's activity can be estimated and judged conveniently, and whether it should be synthesized can be known. The MDS method is applicable to optimize the structure for a compound and to provide suggestions for drug design.


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