Protein language models through the EvolutionaryScale `esm` Python SDK. Generate and embed sequences with ESM3 (multimodal sequence, structure and function prompting), extract per-residue and mean-pooled embeddings with ESM C, fold sequences with ESMFold2, and run inference locally or against the Forge and Biohub hosted clients. Use this skill for protein representation learning, variant effect and mutational scanning from likelihoods, sequence generation and inpainting, structure prediction from sequence alone, and embedding features for downstream models. Also trigger on esm, ESM3, ESMC, ESM...
At a glance
This skill is for Presentations and helps you present protein analysis results, create slides for research findings, and visualize protein structures in presentations.
git clone --depth 1 https://github.com/K-Dense-AI/drug-discovery-agent-skills
cp -r drug-discovery-agent-skills/skills/esm ~/.claude/skills/esm
Esm3Protein Language ModelsbioinformaticsProtein Foldingembeddings
Also in K-Dense-AI/drug-discovery-agent-skills
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Other Presentations skills
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Open Design's Series A growth story: the traction curve, the expansion motion, and why it's venture-scale. Built as a decision-grade fundrai...
Open Design's community-growth campaign across GitHub, Discord, and X: the loops, the content calendar, and the pipeline math. Built as a de...