title: A neural network to predict melting temperature (Tm) of RNA duplex.
abstract: A straightforward method to predict RNA duplex stability by neural network is described. The best network consists of three layers in which the input layer units are 12 (frequencies of 10 nearest-neighbors and 2 terminals), the hidden layer units are 3 and the output layer unit is 1 (measured Tm). This method to predict Tm has the advantage that the determinations of thermodynamic parameters is not needed.
authors.affiliation: Laboratory of Medicinal Chemistry, Rega Institute, Catholic University of Leuven, Belgium.
authors.forename: C
authors.initials: C
authors.lastname: Cheng
authors.forename: L
authors.initials: L
authors.lastname: Ma
authors.forename: H
authors.initials: H
authors.lastname: Miyajima
authors.forename: P
authors.initials: P
authors.lastname: Herdewijn
mesh_terms: D001483:Base Sequence; D016571:Neural Networks, Computer; D020871:RNA Stability; D012330:RNA, Double-Stranded / Q000737:chemistry*; D013696:Temperature
chemical_list: D012330:RNA, Double-Stranded