Predicting melting temperature (Tm) of oligoribonucleotide duplex by neural network

✍ Scribed by Lixin Ma; Changmei Cheng; Hiromi Miyajima; Yufen Zhao; Piet Herdewijn

• Book ID: 101833570
• Publisher: John Wiley and Sons
• Year: 2002
• Tongue: English
• Weight: 163 KB
• Volume: 16
• Category: Article
• ISSN: 0886-9383
• DOI: 10.1002/cem.690

✦ Synopsis

Abstract

A straightforward method to predict melting temperatures of RNA duplexes by artificial neural network is developed. The network consists of three layers in which there are 12 input layer units (10 nearest neighbors and two terminals), two hidden layer units and one output layer unit (melting temperature). It is found that the predicted data for the test set agree with the measured data quite well (AD = 3.7 K, R^2^ = 0.9359, SEP = 4.17 for NN~1~; AD = 2.85 K, R^2^ = 0.8843, SEP = 3.43 for NN~2~). This method omits the determination of thermodynamic parameters and therefore is a simpler way to predict the stability of RNA duplex. Copyright © 2002 John Wiley & Sons, Ltd.