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GitHub
AI Model·2024
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ESM (Biohub/esm)

Biohub (EvolutionaryScale Team)

Provides code, pretrained weights, and tooling for protein language models and structure prediction — including ESMC, ESMFold2, sparse autoencoders (SAEs), and the ESM Atlas. Includes model checkpoints, tutorials, Hugging Face & Biohub integration, and an MIT license.

#foundation-model#transformers#huggingface#pytorch#biology+4
GitHub
AI Train·2024
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Protenix

ByteDance AI4Science (AML) Team

High-accuracy biomolecular structure prediction suite: open-source models (protenix-v2/v1), a benchmark/evaluation toolkit, and a web server for inference. Targets protein/antibody–antigen and ligand-aware predictions with inference-time sampling and constraint support.

#bytedance#github#foundation-model#genomics#drug-discovery+2
GitHub
AI Agent·2025
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Biomni: A General-Purpose Biomedical AI Agent

Kexin Huang, Serena Zhang +8

Autonomously executes diverse biomedical research tasks by combining LLM reasoning, retrieval-augmented planning, and code-based execution. Includes a web UI and Gradio demo, a curated Know‑How library, MCP integration, and a biology-tailored reasoning model (Biomni‑R0).

#ai-agent#biology#genomics#drug-discovery#agent-skills+7
GitHub
AI Agent·2025
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Scientific Agent Skills

K-Dense Inc.

Provides 134 ready-to-use Agent Skills that let AI agents execute multi-step scientific workflows (bioinformatics, cheminformatics, imaging, clinical research). Each skill includes curated docs and examples plus unified access to 100+ scientific databases and common Python packages — for agents that support the Agent Skills standard.

#agent-skills#ai-agent#github#python#ai-workflow+4
GitHub
AI Agent·2025
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Claude Scientific Skills

K-Dense-AI·K-Dense AI

A library of ~140 ready-to-use Agent Skills that turn a coding agent (Claude Code, Cursor, Codex) into a science assistant across biology, chemistry, medicine, and drug discovery, with connectors to 100+ scientific databases and Python analysis tools.

#claude#claude-code#agent-skills#github#ai-tools+6
Hugging Face
AI Dataset·2026
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Carbon Pretraining Corpus

HuggingFaceBio, GenerTeam +1

Provides 173M DNA/RNA sequences (≈1.1 trillion nucleotides) assembled specifically for pretraining genomic foundation models. Includes eukaryote, prokaryote, and mRNA configs plus a 10B‑token eukaryote subset for faster experiments; formatted for streaming and tokenized with Carbon's 6‑mer setup.

#huggingface#genomics#biology#foundation-model#transformers
Hugging Face
AI Dataset·2026
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Emerald Bay

Tahoe Therapeutics, tahoebio +1

Provides per-cell transcriptomes and five-day drug-sensitivity readouts for 1.83M single cells across 52 cancer cell lines and 91 drug conditions, with raw counts plus gene, cell-line, drug, and summary metadata for modeling drug response and context-dependent gene function.

#biology#genomics#drug-discovery#chemistry#huggingface+2
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