Summary

Computational protein models generated by structure prediction methods like (AlphaFold2) fit (NMR) data better than models generated using classical approaches like (Rosetta) (1).

1.
Li EH, Spaman LE, Tejero R, Janet Huang Y, Ramelot TA, Fraga KJ, et al. Blind assessment of monomeric AlphaFold2 protein structure models with experimental NMR data. Journal of Magnetic Resonance. 2023;352:107481. Available from: https://doi.org/10.1016/j.jmr.2023.107481