Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning

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Alternative title: Proteinstrukturvorhersage mit in-cell photo-crosslinking Massenspektrometrie und Deep Learning

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Berlin, Technische Universität Berlin, Dissertation, 2023

Classification: Biowissenschaften, Biologie

Keyword: Maschinelles Lernen
Neuronales Netz
Proteine
Strukturaufklärung
Deep Learning
Bioinformatik

Event: Veröffentlichung

(where): Berlin

(who): Technische Universität Berlin

(when): 2023

Creator: Stahl, Kolja

Contributor: Brock, Oliver
Rappsilber, Juri
Karaca, Ezgi
Cheng, Jianlin

DOI: 10.14279/depositonce-19025

Handle: 11303/20227

URN: urn:nbn:de:101:1-2023110800585727894958

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:53 AM CEST

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Associated

Stahl, Kolja
Brock, Oliver
Rappsilber, Juri
Karaca, Ezgi
Cheng, Jianlin
Technische Universität Berlin

Time of origin

2023

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Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning

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Other Objects (12)

Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning

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Data analysis strategies for proteome-wide crosslinking mass spectrometry

Data-independent acquisition improves quantitative cross-linking mass spectrometry

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Data-independent acquisition improves quantitative cross-linking mass spectrometry

Reliable identification of protein-protein interactions by crosslinking mass spectrometry

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