Ontology highlight
ABSTRACT:
SUBMITTER: Goto K
PROVIDER: S-EPMC10209033 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Goto Kento K Tamehiro Norimasa N Yoshida Takumi T Hanada Hiroyuki H Sakuma Takuto T Adachi Reiko R Kondo Kazunari K Takeuchi Ichiro I
The Journal of biological chemistry 20230421 6
Cutting-edge technologies such as genome editing and synthetic biology allow us to produce novel foods and functional proteins. However, their toxicity and allergenicity must be accurately evaluated. It is known that specific amino acid sequences in proteins make some proteins allergic, but many of these sequences remain uncharacterized. In this study, we introduce a data-driven approach and a machine-learning method to find undiscovered allergen-specific patterns (ASPs) among amino acid sequenc ...[more]