Signal Peptides Generated by Attention-Based Neural Networks.
Bacillus subtilis
machine learning
protein design
secretion
signal peptides
Journal
ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075
Informations de publication
Date de publication:
21 08 2020
21 08 2020
Historique:
pubmed:
11
7
2020
medline:
28
5
2021
entrez:
11
7
2020
Statut:
ppublish
Résumé
Short (15-30 residue) chains of amino acids at the amino termini of expressed proteins known as signal peptides (SPs) specify secretion in living cells. We trained an attention-based neural network, the Transformer model, on data from all available organisms in Swiss-Prot to generate SP sequences. Experimental testing demonstrates that the model-generated SPs are functional: when appended to enzymes expressed in an industrial
Identifiants
pubmed: 32649182
doi: 10.1021/acssynbio.0c00219
doi:
Substances chimiques
Bacterial Proteins
0
Protein Sorting Signals
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM