Using Machine Learning and Targeted Mass Spectrometry to Explore the Methyl-Lys Proteome.
STAR Protoc
; 1(3): 100135, 2020 12 18.
Article
em En
| MEDLINE
| ID: mdl-33377029
ABSTRACT
Protein lysine methylation mediates a variety of biological processes, and their dysregulation has been established to play pivotal roles in human disease. A number of these sites constitute attractive drug targets. However, systematic identification of methylation sites is challenging and resource intensive. Here, we present a protocol combining MethylSight, a machine learning model trained to identify promising lysine methylation sites, and mass spectrometry for subsequent validation. Our approach can reduce the time and investment required to identify novel methylation sites. For complete information on the use and execution of this protocol, please refer to Biggar et al. (2020).
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Espectrometria de Massas
/
Análise de Sequência de Proteína
/
Previsões
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
STAR Protoc
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Canadá