SignalP 5.0 improves signal peptide predictions using deep neural networks

By J. J. Almagro Armenteros, Konstantinos D. Tsirigos, Casper Kaae Sønderby, Thomas Nordahl Petersen, Ole Winther, Søren Brunak, G. von Heijne, Henrik Nielsen. Nature Biotechnology, 2019

3,628 citations recorded by the source corpus.

Subfields: Microbiology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ed01f5c6b28d6939aa51364dd47bfa0218da1c02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Henrik Nielsen
2. Arne Elofsson
3. G. von Heijne
4. Ole Winther
5. Olof Emanuelsson
6. Kuo-Chen Chou
7. Hongbin Shen
8. Björn Wallner

Citations in the corpus

• Detecting sequence signals in targeting peptides using deep learning (2019, methodology): “0/, and the source code is available under the creative commons CC BY-NC-SA license from https://github.com/JJAlmagro/ TargetP-2.”
• CipA mediates complement resistance of Acinetobacter baumannii by formation of a factor I-dependent quadripartite assemblage (2022, background): “0 (31) predicts a 186 lipoprotein signal peptide (Sec/SPII) with a cleavage site between positions 17 and 18 (LMA187”