Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning

Deep learning models for prediction of three key LC-MS/MS properties from peptide sequences were developed. The LC-MS/MS properties or behaviors are indexed retention times (iRT), MS1 or survey scan charge state distributions, and sequence ion intensities of HCD spectra. A common core deep supervise...

Descripción completa

Detalles Bibliográficos
Autores principales: Guan, Shenheng, Moran, Michael F., Ma, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2019
Materias:
Technological Innovation and Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773555/
https://www.ncbi.nlm.nih.gov/pubmed/31249099
http://dx.doi.org/10.1074/mcp.TIR119.001412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773555/
https://www.ncbi.nlm.nih.gov/pubmed/31249099
http://dx.doi.org/10.1074/mcp.TIR119.001412

Ejemplares similares