Cargando…
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
BACKGROUND: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometry (MS). It separates and detects peptide ions on a millisecond time-scale. IMS separates peptide ions based on drift time...
Autores principales: | Wang, Bing, Valentine, Steve, Plasencia, Manolo, Raghuraman, Sriram, Zhang, Xiang |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874804/ https://www.ncbi.nlm.nih.gov/pubmed/20380738 http://dx.doi.org/10.1186/1471-2105-11-182 |
Ejemplares similares
-
Prediction of peptide drift time in ion mobility-mass spectrometry
por: Wang, Bing, et al.
Publicado: (2009) -
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features
por: Wang, Bing, et al.
Publicado: (2013) -
Mobility-Resolved Ion Selection in Uniform Drift Field
Ion Mobility Spectrometry/Mass Spectrometry: Dynamic Switching in
Structures for Lossless Ion Manipulations
por: Webb, Ian K., et al.
Publicado: (2014) -
Ion Mobility-Mass Spectrometry: Time-Dispersive Instrumentation
por: May, Jody C., et al.
Publicado: (2014) -
Flexible Drift Tube for High Resolution Ion Mobility
Spectrometry (Flex-DT-IMS)
por: Smith, Barry L., et al.
Publicado: (2020)