scholarly journals Why neural networks should not be used for HIV-1 protease cleavage site prediction

2004 ◽  
Vol 20 (11) ◽  
pp. 1702-1709 ◽  
Author(s):  
T. Rognvaldsson ◽  
L. You
2009 ◽  
Vol 30 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Bing Niu ◽  
Lin Lu ◽  
Liang Liu ◽  
Tian Hong Gu ◽  
Kai-Yan Feng ◽  
...  

2004 ◽  
Vol 02 (03) ◽  
pp. 511-531 ◽  
Author(s):  
ZHENG RONG YANG ◽  
EMILY A. BERRY

This paper presents a new neural learning algorithm for protease cleavage site prediction. The basic idea is to replace the radial basis function used in radial basis function neural networks by a so-called bio-basis function using amino acid similarity matrices. Mutual information is used to select bio-bases and a corresponding selection algorithm is developed. The algorithm has been applied to the prediction of HIV and Hepatitis C virus protease cleavage sites in proteins with success.


2013 ◽  
Vol 20 (3) ◽  
pp. 290-298 ◽  
Author(s):  
Bing Niu ◽  
Xiao-Cheng Yuan ◽  
Preston Roeper ◽  
Qiang Su ◽  
Chun-Rong Peng ◽  
...  

2006 ◽  
Vol 69 (7-9) ◽  
pp. 838-841 ◽  
Author(s):  
Loris Nanni ◽  
Alessandra Lumini

PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e63145 ◽  
Author(s):  
Orkun Öztürk ◽  
Alper Aksaç ◽  
Abdallah Elsheikh ◽  
Tansel Özyer ◽  
Reda Alhajj

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