Detecting sequence signals in targeting peptides using deep learning.
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ABSTRACT:
SUBMITTER: Almagro Armenteros JJ
PROVIDER: S-EPMC6769257 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
Detecting sequence signals in targeting peptides using deep learning.
Almagro Armenteros Jose Juan JJ Salvatore Marco M Emanuelsson Olof O Winther Ole O von Heijne Gunnar G Elofsson Arne A Nielsen Henrik H
Life science alliance 20190930 5
In bioinformatics, machine learning methods have been used to predict features embedded in the sequences. In contrast to what is generally assumed, machine learning approaches can also provide new insights into the underlying biology. Here, we demonstrate this by presenting TargetP 2.0, a novel state-of-the-art method to identify N-terminal sorting signals, which direct proteins to the secretory pathway, mitochondria, and chloroplasts or other plastids. By examining the strongest signals from th ...[more]
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