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AlphaFold prediction of structural ensembles of disordered proteins
ZF Brotzakis, S Zhang, MH Murtada… - Nature …, 2025 - nature.com
Deep learning methods of predicting protein structures have reached an accuracy
comparable to that of high-resolution experimental methods. It is thus possible to generate …
comparable to that of high-resolution experimental methods. It is thus possible to generate …
Data-driven equation-free dynamics applied to many-protein complexes: The microtubule tip relaxation
Microtubules (MTs) constitute the largest components of the eukaryotic cytoskeleton and
play crucial roles in various cellular processes, including mitosis and intracellular transport …
play crucial roles in various cellular processes, including mitosis and intracellular transport …
Machine learning of slow collective variables and enhanced sampling via spatial techniques
T Gökdemir, J Rydzewski - Chemical Physics Reviews, 2025 - pubs.aip.org
Understanding the long-time dynamics of complex physical processes depends on our
ability to recognize patterns. To simplify the description of these processes, we often …
ability to recognize patterns. To simplify the description of these processes, we often …