SF-Cluster guides MSA subsampling with frustration patterns to improve alternative protein conformation recovery over sequence-based methods like AF-Cluster on a 48-case benchmark.
Proteingym: Large- scale benchmarks for protein fitness prediction and design.Advances in neural information processing systems, 36:64331–64379
2 Pith papers cite this work. Polarity classification is still indexing.
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BioXArena benchmarks LLM agents on generating end-to-end ML pipelines for 76 multi-modal biomedical tasks, with MLEvolve plus Gemini-3.1-Pro scoring highest at 0.666.
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SF-Cluster: Frustration-Guided MSA Subsampling for Alternative Protein Conformation Recovery
SF-Cluster guides MSA subsampling with frustration patterns to improve alternative protein conformation recovery over sequence-based methods like AF-Cluster on a 48-case benchmark.
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BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
BioXArena benchmarks LLM agents on generating end-to-end ML pipelines for 76 multi-modal biomedical tasks, with MLEvolve plus Gemini-3.1-Pro scoring highest at 0.666.