SignalP 5.0 improves signal peptide predictions using deep neural networks
Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.
pmid: 30778233 Nat Biotechnol 影响因子: 31.864 发表日期: 20190401 官网 免费下载