Prediction of eukaryotic mRNA translational properties

Abstract

Motivation: It is well known that eukaryotic mRNAs are translated at different levels depending on their sequence characteristics. Evaluation of mRNA translatability is of importance in prediction of the gene expression pattern by computer methods and to improve the recognition of mRNAs within cloned nucleotide sequences. It may also be used in biotechnological experiments to optimize the expression of foreign genes in transgenic organisms. Results: The sets of 5' untranslated region characteristics, significantly different between mRNAs encoding abundance and scarce polypeptides, were determined for mammals, dicot plants and monocot plants. Computer tools for the prediction of mRNA translatability are presented.