ESM Protein Modeling

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ESM (Evolutionary Scale Modeling) provides a comprehensive toolkit for protein language modeling, featuring state-of-the-art models like ESM3 for generative protein design and ESM C for efficient representation learning. It empowers researchers to design novel proteins with specific functional properties, predict 3D structures from sequences, and perform inverse folding to find sequences that match target structures. Whether running locally or via the cloud-based Forge API, this skill streamlines complex workflows in protein engineering, drug discovery, and functional annotation through advanced capabilities like chain-of-thought refinement and multimodal prompting.

Características Principales

• High-quality structure prediction and inverse folding for protein design
• 2,066 GitHub stars
• Multimodal protein generation across sequence, structure, and function tracks
• Function-conditioned generation for proteins with specific annotations
• Efficient protein representation learning and embeddings with ESM C
• Chain-of-thought refinement for iterative protein design optimization

Casos de Uso

• Designing novel proteins with specific functional properties like fluorescence
• Generating high-quality embeddings for sequence similarity and classification tasks
• Predicting 3D structures or designing sequences to fit existing PDB structures