Generate protein sequences, predict structures, and extract embeddings using ESM3 and ESM C.
npx skills add https://github.com/yf8578/clawomics --skill esm-yf8578
Please help me install this Agent Skill. Skill: esm Source: https://github.com/yf8578/clawomics/tree/main/skills/esm Command: npx skills add https://github.com/yf8578/clawomics --skill esm-yf8578
This Skill empowers users to generate, design, and analyze proteins using state-of-the-art AI models, streamlining complex bioinformatics tasks.
Use the esm skill to generate a novel protein sequence for a given function.
High-intent search queries and answers about installing and using this skill.
To design novel protein sequences with generative AI, use the ESM3 model to generate candidate sequences and predict their structures for desired functions. This streamlines complex bioinformatics tasks by enabling sequence generation and structure prediction.
Yes, you can extract protein embeddings for downstream machine learning applications using the ESM C model. It generates high-quality representations that facilitate tasks like sequence classification and similarity analysis.
You can predict protein structures or perform inverse folding by using this toolkit to map 3D target structures back to sequences or predict structures from given sequences, supporting both local execution and cloud-based inference.
Yes, the ESM toolkit supports cloud-based inference for protein engineering via the Forge API, alongside local model execution, allowing flexible scaling for generating and analyzing proteins.
The best way to generate an enzyme with enhanced catalytic activity is using ESM3 to create candidate sequences, predict their 3D structures, and obtain embeddings for further analysis, accelerating the discovery process.
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jimmc414Generate protein sequences and extract embeddings using ESM3 and ESM C.
