Explore how stochastic and statistical analyses reveal the secrets of protein folding kinetics, from Levinthal's paradox to single-molecule experiments.
Discover how solving the inverse Potts problem through pseudolikelihood approaches is revolutionizing protein contact prediction and structural biology.
Explore how deep learning algorithms like AlphaFold are revolutionizing protein structure prediction and solving the 50-year protein folding problem.
Discover how proteins fold through a delicate dance between electrostatic and hydrophobic interactions, revealed through cutting-edge protein design experiments.