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
en 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
Banco de datos:
MEDLINE
Asunto principal:
Espectrometría de Masas
/
Proteoma
/
Proteómica
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Nat Methods
Asunto de la revista:
TECNICAS E PROCEDIMENTOS DE LABORATORIO
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos