Evaluating zero-shot prediction of protein design success by AlphaFold, ESMFold, and ProteinMPNN
Mario Garcia, Sugyan M. Dixit, Gabriel J. Rocklin
This study evaluates how well AlphaFold2, ESMFold, and ProteinMPNN predict the success of de novo protein designs using confidence metrics, finding that ESMFold performs best but overall accuracy is limited.
bioRxiv · Jul 29, 2025 · PreprintBioinformatics