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Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information

We describe an improved artificial neural network (ANN)-based method for predicting peptide retention times in reversed phase liquid chromatography. In addition to the peptide amino acid composition, this study investigated several other peptide descriptors to improve the predictive capability, such...

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Detalhes bibliográficos
Main Authors: Petritis, Konstantinos, Kangas, Lars J., Yan, Bo, Strittmatter, Eric F., Monroe, Matthew, Qian, Weijun, N. Adkins, Joshua, Moore, Ronald J., Xu, Ying, Lipton, Mary S., Camp, David G., Smith, Richard D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2006
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1924966/
https://ncbi.nlm.nih.gov/pubmed/16841926
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/ac060143p
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