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esm

Model protein sequences, structures, and functions using ESM3 and ESM C.

Updated May 8, 2026
Search Tags:#bioinformatics#ESM3#protein modeling#protein design#ESM C
One-click install
npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill esm-zeyuyang-0420
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: esm
Source: https://github.com/Zeyuyang-0420/bio-ai-research-skills/tree/main/categories/drug-discovery-molecular-modeling/esm
Command: npx skills add https://github.com/Zeyuyang-0420/bio-ai-research-skills --skill esm-zeyuyang-0420

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires esm, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines protein modeling, design, and analysis using state-of-the-art language models, significantly reducing the time and effort required for protein-related tasks.

Core Features & Use Cases

  • Protein Sequence Generation: Create novel sequences with specific properties.
  • Structure Prediction: Predict protein structures from sequences or inverse fold from structures.
  • Protein Embeddings: Generate embeddings for downstream tasks like function prediction or classification.
  • Function Conditioning: Design proteins with specific functional annotations or predict function from sequence.
  • Use Case: Design a novel fluorescent protein (GFP) with desired properties using ESM3's chain-of-thought generation approach.

Quick Start

Use the 'esm' skill to generate a novel protein sequence with specific functional properties.

Frequently Asked Questions about esm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I predict protein structures from sequences using ESM models?▼

You can predict protein structures from sequences using ESM3 and ESM C models. This Skill utilizes evolutionary scale modeling to perform structure prediction and inverse folding directly from your target protein sequences.

Can I design a novel fluorescent protein with specific functional properties?▼

Yes, you can design novel fluorescent proteins like GFP with specific properties. The Skill uses ESM3's chain-of-thought generation approach to condition protein design on desired functional annotations.

How do I generate protein embeddings for downstream function prediction?▼

Generating protein embeddings for function prediction or classification is a core feature. The Skill leverages ESM C models to produce embeddings that optimize downstream bioinformatics analysis workflows.

Do I need an ESM SDK to model protein sequences and functions?▼

Yes, you need the ESM3 or ESM C models and SDK to utilize this Skill. These dependencies are required to execute the evolutionary scale modeling processes for protein sequence and function analysis.

What is the best way to optimize protein design workflows in drug discovery?▼

The best way to optimize protein design workflows in drug discovery is using ESM3 language models. This approach streamlines sequence generation, function conditioning, and structure prediction to significantly reduce research time.

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