Complementing machine learning-based structure predictions with native mass spectrometry
The advent of machine learning-based structure prediction algorithms such as AlphaFold2 (AF2) and RoseTTa Fold have moved the generation of accurate structural models for the entire cellular protein machinery into the reach of the scientific community. However, structure predictions of protein compl...
المؤلفون الرئيسيون: | Allison, TM, Degiacomi, MT, Marklund, EG, Jovine, L, Elofsson, A, Benesch, JLP, Landreh, M |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
Wiley
2022
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مواد مشابهة
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Software requirements for the analysis and interpretation of native ion mobility mass spectrometry data
حسب: Allison, TM, وآخرون
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Computational strategies and challenges for using native ion mobility mass spectrometry in biophysics and structural biology
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Ion mobility-mass spectrometry shows stepwise protein unfolding under alkaline conditions
حسب: Sahin, C, وآخرون
منشور في: (2021) -
Weighing-up protein dynamics: the combination of native mass spectrometry and molecular dynamics simulations
حسب: Marklund, E, وآخرون
منشور في: (2019) -
Native Mass Spectrometry Captures the Conformational Plasticity of Proteins with Low-Complexity Domains
حسب: Hannah Osterholz, وآخرون
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