Design, analyze, and embed proteins with ESM3 and ESM C.
npx skills add https://github.com/Hung-3008/agusta --skill esm-hung-3008
Please help me install this Agent Skill. Skill: esm Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/esm Command: npx skills add https://github.com/Hung-3008/agusta --skill esm-hung-3008
Researchers need a unified workflow for protein design, structure prediction, and embedding generation using ESM models.
Load a model, design a sequence, and generate both structure predictions and embeddings in a single step.
High-intent search queries and answers about installing and using this skill.
Generate protein embeddings and predict structures using ESM by loading ESM3 or ESM C models to process sequences and extract structural representations in a single workflow. The Skill supports designing novel proteins and outputting embeddings for ML tasks.
You can run ESM inverse folding and protein design locally using Python with PyTorch and the esm package, or utilize Forge-based cloud inference for scalable execution across sequences, structures, and functions.
The best way to design a novel protein across sequence, structure, and function is using ESM3 for multimodal design, enabling researchers to simultaneously generate sequences, predict structures, and define functional constraints.
Yes, you need Python with PyTorch and the esm package installed to run ESM models locally for protein analysis. The Skill relies on these dependencies to execute structure prediction and embedding generation.
ESM C differs from ESM3 by focusing on efficient protein embeddings and representations, whereas ESM3 provides multimodal capabilities across sequence, structure, and function for comprehensive protein design tasks.
Yes, ESM supports scalable inference for large protein datasets on the Forge cloud API, allowing researchers to process extensive sequences, structures, and functions without local hardware limitations.
qinyan-aiDesign, analyze, and embed proteins with ESM3 and ESM C models.
adaptyvbioPredict protein structures from FASTA sequences using Chai-1.
robotlearning123Generate protein sequences, structures, and functions using ESM3 and ESM C models.
pradyumnasagarPredict protein structures and mutational effects from amino acid sequences.
