TriFit achieves AUROC 0.897 on ProteinGym by integrating sequence, structure, and dynamics via adaptive MoE fusion, outperforming prior supervised and zero-shot models.
Learning inverse folding from millions of predicted structures
2 Pith papers cite this work. Polarity classification is still indexing.
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Protein Thoughts uses hypothesis-guided entropy-regularized Tree-of-Thoughts search and embedding flow matching to achieve mean best-binder rank 11.2 and 91.08 Micro-F1 on SHS148k by keeping sequence, structure, interface, and chemical signals transparent.
citing papers explorer
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TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction
TriFit achieves AUROC 0.897 on ProteinGym by integrating sequence, structure, and dynamics via adaptive MoE fusion, outperforming prior supervised and zero-shot models.
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Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery
Protein Thoughts uses hypothesis-guided entropy-regularized Tree-of-Thoughts search and embedding flow matching to achieve mean best-binder rank 11.2 and 91.08 Micro-F1 on SHS148k by keeping sequence, structure, interface, and chemical signals transparent.