Paper published in ISMB 2025 proceedings

In our paper “Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65” we show that usage of ESM-2 embeddings boosts performance in out-of-distribution PPI prediction to around 0.65 independently of model architecture.