Design and analyze proteins using ESM3 and ESM C models.
npx skills add https://github.com/fuzzy-dynamics/strings --skill esm-fuzzy-dynamics
Please help me install this Agent Skill. Skill: esm Source: https://github.com/fuzzy-dynamics/strings/tree/main/packages/skills/esm Command: npx skills add https://github.com/fuzzy-dynamics/strings --skill esm-fuzzy-dynamics
Protein designers and researchers struggle to quickly design, evaluate, and iterate on sequences, structures, and functional annotations using disparate tools. This skill unifies ESM3 and ESM C workflows to streamline multi-track design, structure prediction, and embedding-based analyses in a single framework.
Provide a starter command to design a protein sequence using ESM3 given a target structure.
High-intent search queries and answers about installing and using this skill.
You can predict protein structure from sequence by passing your input to the ESM3 or ESM C models, applying locally with Open weights or using the Forge API for production-scale structure prediction inference.
Yes, you can run ESM3 and ESM C models locally for protein embedding analysis and clustering by using Open weights, provided you have the esm package and PyTorch installed in your environment.
ESM3's multi-track generation allows you to jointly design and iterate on protein sequence, structure, and function by applying multi-modal prompts, streamlining novel enzyme design and variant exploration.
Forge API enables production-scale inference across the full ESM model family, allowing you to process large batches of protein sequences, structures, and functional annotations efficiently at scale.
ESM3 unifies sequence generation, structure prediction, and embedding-based analyses in a single framework, providing a streamlined solution for protein designers to rapidly evaluate and iterate on functional annotations.
ESM3 handles multi-track protein design by processing sequence, structure, and function simultaneously, enabling researchers to design novel enzymes and predict functional annotations within a unified framework.
SciMate-AIDesign proteins and generate embeddings using ESM3 and ESM C.
silversteinGenerate protein sequences, predict structures, and compute embeddings with ESM3 and ESM C.
mkurmanGenerate protein sequences and structures using ESM3 and ESM C.
RamanEbrahimiGenerate protein sequences and predict structures using ESM3 and ESM C models.
