ESM-2
PulseAugur coverage of ESM-2 — every cluster mentioning ESM-2 across labs, papers, and developer communities, ranked by signal.
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Discrete Ricci curvature offers lightweight protein fold classification
Researchers have developed a novel method for protein fold classification using discrete Ricci curvature on protein contact graphs. This approach generates a lightweight, 22-dimensional feature vector that outperforms l…
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Canopy model advances metabolic engineering with heterogeneous graph foundation
Researchers have introduced Canopy, a novel heterogeneous graph foundation model designed for metabolic engineering. This model integrates diverse data sources, including genes, proteins, metabolites, and experimental r…
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Protein language models fail to recover allergen epitopes, study finds
A new study has found that residue-level attributions in protein language models do not accurately recover allergen epitopes, despite the models' robustness in protein-level allergenicity prediction. Researchers develop…
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Protein language models' allergen explanations lack biological grounding
A new study published on arXiv questions the biological relevance of explanations provided by protein language models used in allergenicity classification. While models like ESM-2 and DeepPlantAllergy demonstrate strong…
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Sutra language compiles programs into PyTorch neural networks
Researchers have developed Sutra, a functional programming language that compiles into PyTorch neural networks. This system targets vector symbolic architectures by reducing programs to fused tensor-operation graphs. Su…