Long-range contact supervision during ESM2 adaptation improves sequence-only protein representations on eight protein-level benchmarks, most strongly remote homology (+0.0647 macro-F1).
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Alphafold protein structure database in 2024: providing structure coverage for over 214 million protein se- quences.Nucleic Acids Research, 52(D1):D368–D375
3 Pith papers cite this work, alongside 1,942 external citations. Polarity classification is still indexing.
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AMix-2 unifies protein sequences and text in one LLM via shared tokens and block-wise diffusion modeling, introduces the ProteinArena benchmark, and reports competitive performance against task-specific protein models and frontier LLMs.
EvoIF integrates within-family and cross-family evolutionary signals into a compact model to achieve competitive or state-of-the-art zero-shot fitness prediction on ProteinGym using only 0.15% of typical training data.
citing papers explorer
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LC-SEPLM: long-range contact-supervised adaptation for sequence-only protein representation learning
Long-range contact supervision during ESM2 adaptation improves sequence-only protein representations on eight protein-level benchmarks, most strongly remote homology (+0.0647 macro-F1).
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AMix-2: Establishing Protein as a Native Modality in Large Language Models
AMix-2 unifies protein sequences and text in one LLM via shared tokens and block-wise diffusion modeling, introduces the ProteinArena benchmark, and reports competitive performance against task-specific protein models and frontier LLMs.
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Evolutionary Profiles for Protein Fitness Prediction
EvoIF integrates within-family and cross-family evolutionary signals into a compact model to achieve competitive or state-of-the-art zero-shot fitness prediction on ProteinGym using only 0.15% of typical training data.