Structure-based validation can drastically underestimate error rate in proteome-wide cross-linking mass spectrometry studies.
Nat Methods
; 17(10): 985-988, 2020 10.
Article
em En
| MEDLINE
| ID: mdl-32994567
ABSTRACT
Thorough quality assessment of novel interactions identified by proteome-wide cross-linking mass spectrometry (XL-MS) studies is critical. Almost all current XL-MS studies have validated cross-links against known three-dimensional structures of representative protein complexes. Here, we provide theoretical and experimental evidence demonstrating that this approach can drastically underestimate error rates for proteome-wide XL-MS datasets, and propose a comprehensive set of four data-quality metrics to address this issue.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Espectrometria de Massas
/
Proteoma
/
Proteômica
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article