CMA-ES-Rosetta: Blackbox optimization algorithm traverses rugged peptide docking energy landscapes
E. R. Claussen, P. D. Renfrew, C. L. Müller, K. Drew
The paper evaluates CMA-ES as an alternative optimization method for peptide docking, finding it outperforms default Rosetta minimizers on 23 out of 26 benchmark peptides.
bioRxiv · Dec 19, 2022 · PreprintBiophysics