AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics

Machine learning and in particular deep learning (DL) are increasingly important in mass spectrometry (MS)-based proteomics. Recent DL models can predict the retention time, ion mobility and fragment intensities of a peptide just from the amino acid sequence with good accuracy. However, DL is a very...

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Detalles Bibliográficos
Autores principales: Zeng, Wen-Feng, Zhou, Xie-Xuan, Willems, Sander, Ammar, Constantin, Wahle, Maria, Bludau, Isabell, Voytik, Eugenia, Strauss, Maximillian T., Mann, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700817/
https://www.ncbi.nlm.nih.gov/pubmed/36433986
http://dx.doi.org/10.1038/s41467-022-34904-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700817/
https://www.ncbi.nlm.nih.gov/pubmed/36433986
http://dx.doi.org/10.1038/s41467-022-34904-3

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