Tyck till om SwePub Sök
här!
Sökning: onr:"swepub:oai:DiVA.org:kth-264335" >
Detecting sequence ...
Detecting sequence signals in targeting peptides using deep learning
-
- Armenteros, Jose Juan Almagro (författare)
- Tech Univ Denmark, Dept Hlth Technol, Sect Bioinformat, Lyngby, Denmark.
-
- Salvatore, Marco (författare)
- Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab),Sci Life Lab, Solna, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Stockholm, Sweden.
-
- Emanuelsson, Olof (författare)
- KTH,Genteknologi
-
visa fler...
-
- Winther, Ole (författare)
- Tech Univ Denmark, DTU Compute, Lyngby, Denmark.;Univ Copenhagen, Computat & RNA Biol, Copenhagen, Denmark.;Copenhagen Univ Hosp, Rigshosp, Ctr Genom Med, Copenhagen, Denmark.
-
- von Heijne, Gunnar (författare)
- Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab),Sci Life Lab, Solna, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Stockholm, Sweden.
-
- Elofsson, Arne (författare)
- Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab),Sci Life Lab, Solna, Sweden.;Stockholm Univ, Dept Biochem & Biophys, Stockholm, Sweden.
-
- Nielsen, Henrik (författare)
- Tech Univ Denmark, Dept Hlth Technol, Sect Bioinformat, Lyngby, Denmark.
-
visa färre...
-
Tech Univ Denmark, Dept Hlth Technol, Sect Bioinformat, Lyngby, Denmark Institutionen för biokemi och biofysik (creator_code:org_t)
- 2019-09-30
- 2019
- Engelska.
-
Ingår i: Life Science Alliance. - : LIFE SCIENCE ALLIANCE LLC. - 2575-1077. ; 2:5
- Relaterad länk:
-
https://www.life-sci...
-
visa fler...
-
https://doi.org/10.2...
-
https://urn.kb.se/re...
-
https://doi.org/10.2...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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 the attention layer in the network, we find that the second residue in the protein, that is, the one following the initial methionine, has a strong influence on the classification. We observe that two-thirds of chloroplast and thylakoid transit peptides have an alanine in position 2, compared with 20% in other plant proteins. We also note that in fungi and single-celled eukaryotes, less than 30% of the targeting peptides have an amino acid that allows the removal of the N-terminal methionine compared with 60% for the proteins without targeting peptide. The importance of this feature for predictions has not been highlighted before.
Ämnesord
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
- NATURVETENSKAP -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas