Predicting mutational effects on protein binding from folding energyArthur Deng, Karsten Householder, Fang Wu, Sebastian Thrun, K. Christopher Garcia, Brian Trippehttps://arxiv.org/abs/2507.05502
Predicting mutational effects on protein binding from folding energyAccurate estimation of mutational effects on protein-protein binding energies is an open problem with applications in structural biology and therapeutic design. Several deep learning predictors for this task have been proposed, but, presumably due to the scarcity of binding data, these methods underperform computationally expensive estimates based on empirical force fields. In response, we propose a transfer-learning approach that leverages advances in protein sequence modeling and folding stab…