ESM Protein Design & Modeling

About

This skill integrates Evolutionary Scale Modeling (ESM) capabilities into Claude, providing a comprehensive toolkit for state-of-the-art protein language modeling. It supports ESM3 for multimodal generative design—allowing users to manipulate sequence, structure, and function tracks simultaneously—and ESM C for efficient protein representation learning. Whether performing inverse folding, generating novel protein sequences with specific functional annotations, or extracting high-dimensional embeddings for downstream machine learning tasks, this skill offers a streamlined interface for both local model deployment and scalable cloud-based inference via the Forge API.

Key Features

• High-quality protein embeddings and representations via ESM C
• 81 GitHub stars
• Function-conditioned protein generation and annotation
• Generative protein design across sequence, structure, and function tracks
• Inverse folding and structure-based sequence optimization
• Support for local inference and scalable cloud-based Forge API integration

Use Cases

• Designing novel proteins with specific structural or functional properties
• Predicting protein structures and generating embeddings for downstream ML tasks
• Automating protein engineering workflows and variant generation