Neural network analysis of DNA sequences

Summary form only given. Attention is given to a project which investigates the applicability of recently developed neural network programs to analyze DNA sequences in a few simple cases to determine parameters such as learning times. Specifically, the ability of various macromolecules to bind to nucleic acid with a recognizable pattern has been considered. The group of enzymes known as restriction endonucleases was considered as an example. These molecules bind and cut DNA at specific nucleotide sites. The neural network is taught to recognize a set of patterns of interest and is then tested on its performance on extended DNA sequences