A neural network for predicting the stability of RNA/DNA hybrid duplexes

被引：6
|
作者：
Ma, LX
Cheng, CM [1 ]
Liu, XH
Zhao, YF
Wang, AL
Herdewijn, P
机构：
[1] Tsing Hua Univ, Sch Life Sci & Engn, Dept Chem, Key Lab Bioorgan Phosphorus Chem,Educ Minist, Beijing 100084, Peoples R China
[2] Shanghai Univ Elect Power, Artificial Intelligence Inst, Shanghai 200090, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai 200030, Peoples R China
[4] Katholieke Univ Leuven, Rega Inst Med Res, Med Chem Lab, B-3000 Louvain, Belgium
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2004年 / 70卷 / 02期
基金：
上海市自然科学基金; 中国国家自然科学基金;
关键词：
D O I：
10.1016/j.chemolab.2003.10.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A back propagation (BP) neural network (NN) method has been developed to predict the stability of RNA/DNA duplex. Calculated T-m of hybrid formation with the present parameters fits the experimental values within reasonable errors (AD = 1.2887 K, SEP = 1.782, R-2 = 0.9673 for NN1; AD = 2.1388 K, SEP = 3.506, R-2 = 0.8889 for NN2). And it has the advantage that the determinations of thermodynamic parameters (TP) are not needed. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：123 / 128
页数：6
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