Rosetta Custom Score Functions Accurately Predict ΔΔG of Mutations at Protein-Protein Interfaces Using Machine Learning
S. Shringari, S. Giannakoulias, J. J. Ferrie, E. J. Petersson
The paper shows that machine learning reweights Rosetta energy terms to better predict ΔΔG values for protein-protein interface mutations.
bioRxiv · Mar 17, 2020Biophysics