Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry

Predicting chromatographic retention times (RTs) has proven beneficial in proteomics but has not yet been achieved for crosslinked peptides. Here, the authors develop an RT prediction tool for crosslinked peptides and leverage predicted RTs to increase identifications in crosslinking mass spectromet...

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Autores principales: Sven H. Giese, Ludwig R. Sinn, Fritz Wegner, Juri Rappsilber
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/9ab330b45697406d85ede559b5464d05
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