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esm

Design protein sequences and predict structures using deep language models.

Updated Aug 23, 2026
Search Tags:#design#embeddings#bioinformatics#structure#protein#function prediction
One-click install
npx skills add https://github.com/ogngnaoh/scientific-agent-skills --skill esm-ogngnaoh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: esm
Source: https://github.com/ogngnaoh/scientific-agent-skills/tree/main/scientific-agent-skills/skills/esm
Command: npx skills add https://github.com/ogngnaoh/scientific-agent-skills --skill esm-ogngnaoh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires torch, biopython, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Protein engineers and researchers need efficient tools for understanding, designing, and predicting proteins, which traditionally require complex computations and lengthy workflows.

Core Features & Use Cases

  • Protein Sequence and Structure Generation: Design novel proteins or infer structures from sequences to accelerate research and development.
  • Embedding and Function Prediction: Extract meaningful representations of proteins for classification and similarity analysis.
  • Use Case: A researcher wants to generate a new enzyme with specified functional regions or predict the structure of an unknown protein by providing its sequence or PDB file.

Quick Start

Ask the AI to generate a custom protein sequence based on desired functions and structure.

Frequently Asked Questions about esm

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

FAQPage Schema
How do I predict protein structure from an amino acid sequence?▼

You can generate a custom protein sequence by specifying your desired functions and structural regions. The tool leverages deep language models to design novel proteins tailored to your biochemical requirements.

Can I extract protein embeddings for function prediction using PyTorch?▼

Yes, you can extract protein embeddings for function prediction using PyTorch. The tool computes meaningful representations from sequences to perform classification and similarity analysis.

Does this protein analysis tool work with PDB files and Biopython?▼

Yes, this protein analysis tool works with PDB files and requires Biopython. You can infer the structure of an unknown protein by providing its sequence or importing an existing PDB file.

What is the best way to design a novel enzyme with specified functional regions?▼

The best way to design a novel enzyme with specified functional regions is to use the AI to generate a custom protein sequence. It leverages deep language models tailored for biochemists and molecular biologists.

Do I need to install specialized model APIs for protein sequence computation?▼

Yes, you need to install specialized model APIs for protein sequence, structure, and embedding computation. The tool also requires torch, biopython, and numpy as core dependencies.

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