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 …

Data-driven equation-free dynamics applied to many-protein complexes: The microtubule tip relaxation

J Wu, S Dasetty, D Beckett, Y Wang, W Xue, T Skóra… - Biophysical …, 2025 - cell.com
Microtubules (MTs) constitute the largest components of the eukaryotic cytoskeleton and
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 …