Yuki Kagaya

Prot-LAMBDA: Explicit Distance Learning Enhances Structural Reasoning in Protein Language Models

Prot-LAMBDA is introduced, a PLM that explicitly incorporates spatial relationships by coupling residue embeddings with inter-residue contacts and LambdaFold, a lightweight distance-guided structure prediction framework that achieves performance comparable to ESMFold on proteins strictly non-redundant to the training data.