Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inferenc
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The ESM skill provides a comprehensive toolkit for working with protein language models, specifically designed to address the challenges of protein sequence generation, structure prediction, and embedding generation. By leveraging advanced models like ESM3 and ESM C, users can generate novel protein sequences tailored to specific functional properties, predict protein structures from sequences, and create efficient protein embeddings for various machine learning tasks. This skill is crucial for researchers and practitioners in the field of protein engineering and design, enabling them to innovate and optimize protein functionalities effectively.
You can generate a novel protein sequence using the ESM3 model by creating a protein prompt and calling the generate method with the desired configuration.
Yes, ESM supports both local model usage and cloud-based inference through the Forge API.
You need a compatible GPU and sufficient memory to load and run the models effectively.
Yes, ESM3 supports inverse folding, allowing you to design sequences that match specific target protein structures.
You can use the protein embeddings for tasks such as function prediction, classification, and sequence similarity analysis.
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