Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

作者：Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne · 发表于：Protein Engineering Design and Selection · 年份：1997 · DOI：10.1093/protein/10.1.1 · 被引用次数：5393 · 研究领域：Machine Learning in Bioinformatics、Genomics and Phylogenetic Studies、RNA and protein synthesis mechanisms

We have developed a new method for the identification of signal peptides and their cleavage sites based on neural networks trained on separate sets of prokaryotic and eukaryotic sequence. The method performs significantly better than previous prediction schemes and can easily be applied on genome-wide data sets. Discrimination between cleaved signal peptides and uncleaved N-terminal signal-anchor sequences is also possible, though with lower precision. Predictions can be made on a publicly available WWW server.