Combining AlphaFold and Sparse Experimental Data to Study Protein Dynamics
Paluba, Justin
Paluba, Justin
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Abstract
Highly dynamic proteins, such as intrinsically disordered proteins, adopt ensembles of structures that cannot be resolved by conventional high-resolution structural biology techniques. This talk will describe how low-resolution methods, such as NMR-PRE and FRET, can be integrated with AI-based structure prediction and Bayesian inference. Using the disordered protein Tau, which plays a key role in neurological disorders, this approach identifies regions that are either accessible or inaccessible to solvent.�
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Date
1/1/2026
Student Status
Graduate Student
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Poster
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Cellular, Molecular and Biomedical sciences
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Larner College of Medicine
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Life Science