alterlab-esm
CommunityDesign and analyze proteins with multimodal AI.
Education & Research#embeddings#multimodal#bioinformatics#protein-design#structure-prediction#esm3#esm-cambrian
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Researchers need a unified toolkit to design, predict, and analyze proteins using cutting-edge multimodal models. This Skill provides an integrated approach to generate sequences, predict structures, generate embeddings, and condition outputs on functional attributes, enabling rapid exploration of protein designs.
Core Features & Use Cases
- Multimodal design across sequence, structure, and function using ESM3 and ESM C models.
- Structure prediction and inverse folding to design sequences that fold into target structures.
- Protein embeddings for downstream ML tasks, clustering, and similarity analyses.
- Function conditioning and chain-of-thought generation for iterative protein design workflows.
- Local model usage and Forge API support for scalable inference and batch processing.
Quick Start
Provide a partial protein sequence (with masked regions) and run a basic generation to obtain a completed design.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alterlab-esm Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-esm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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