protein language models
protein-language-models-974f1f6e·2 events·first seen 28d agoAliases: protein language models, protein language model
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Deep Learning with Proteins
A Hugging Face blog post covering the application of deep learning techniques to protein science, likely covering protein language models, structure prediction, and related tooling. Published in late 2022, this sits in the context of AlphaFold2's impact and the emerging ecosystem of protein ML models. The post likely surveys models, datasets, and frameworks available for computational biology on the Hugging Face platform.
EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation
EvoStruct addresses vocabulary collapse in GNN-based antibody CDR design by combining a frozen protein language model with an E(3)-equivariant GNN through a cross-attention adapter. The method introduces progressive PLM unfreezing and R-Drop consistency regularization to recover functionally important amino acid diversity. On CHIMERA-Bench, EvoStruct improves sequence recovery by 16%, reduces perplexity by 43%, and achieves 2.3x greater amino acid diversity compared to the best GNN baselines.