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

页码：123 / 128

页数：6

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