Anonymous artifact for double-blind review. Pretrained checkpoints for a logit-space contrastive alignment model: a bidirectional ESM-2 (protein) + SELFormer (ligand) backbone with a cross-attention adapter, pretrained on BindingDB with a token-likelihood contrastive objective (40 epochs).

Ligand encoder: HUBioDataLab/SELFormer (all sizes).

Checkpoints are weights-only (model_state_dict + epoch + metrics); load with strict=False into the bidirectional model. Download the size you need and pass it to the training code as the pretrained checkpoint:

Training and fine-tuning code is provided as an anonymized supplement with the submission. Repository, authors, and citation are withheld for double-blind review.