Analysis of Abnormal Splicing by Neural Networ

抄録

We have developed networks with back-propagation learning algorithm for the prediction of splice sites in mRNA precursors. We used these networks to predict the effects of mutations on splicing of protein coding genes. We applied neural networks to β-thalassemia genes (mutant β-globin genes), a hemophilia B gene (mutant blood coagulation factor IX gene) and a mutant c-Ha-ras oncogene. We demonstrate that these networks predict abnormal splicing patterns in these genes consistent with experiments.