ESM Protein Modeling

About

ESM (Evolutionary Scale Modeling) empowers researchers and developers with state-of-the-art tools for computational biology and protein design. By leveraging the multimodal ESM3 model for generative tasks and the efficient ESM C model for representation learning, it enables a wide range of workflows from de novo protein design to inverse folding and function prediction. Whether you're working locally or using the cloud-based Forge API, this tool facilitates sophisticated 'chain-of-thought' protein engineering, allowing for the iterative refinement of sequence, structure, and function to meet specific biological objectives.

Key Features

• Chain-of-thought refinement for iterative, multi-step protein design
• High-quality embedding generation for similarity analysis and function prediction
• Support for both local model execution and scalable cloud-based Forge API inference
• Multimodal protein generation across sequence, structure, and function tracks
• 16 GitHub stars
• Inverse folding to design sequences based on target 3D structures

Use Cases

• Designing novel proteins with specific functional properties and annotations
• Extracting high-dimensional protein representations for downstream machine learning tasks
• Predicting 3D structures from sequences or performing inverse folding for target scaffolds