eSIG-Net: Accurate prediction of single-mutation induced perturbations on protein interactions using a language model
Xingxin Pan, Aditya Shrawat, Sidharth Raghavan, Chuanpeng Dong, Yuntao Yang, Zhao Li, W. Jim Zheng, S. Gail Eckhardt, Erxi Wu, Juan I. Fuxman Bass, Daniel F. Jarosz, Sidi Chen, Daniel James McGrail, Gloria Sheynkman, Jianzhi Huang, , S. Stephen Yi
eSIG-Net predicts how single mutations affect protein interactions using a sequence-based interaction language model, outperforming existing methods.
bioRxiv · Mar 31, 2026 · PreprintBioinformatics