protein-function-prediction

Infer protein function and properties from FASTA sequences using BioT5.

1.1k|132|Updated Apr 13, 2023
One-click install
npx skills add https://github.com/PharMolix/OpenBioMed --skill protein-function-prediction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: protein-function-prediction
Source: https://github.com/PharMolix/OpenBioMed/tree/main/skills/protein-function-prediction
Command: npx skills add https://github.com/PharMolix/OpenBioMed --skill protein-function-prediction

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Predict functional annotations and properties for proteins from amino acid sequences using the BioT5 model.

Core Features & Use Cases

  • Function annotation from sequence using BioT5
  • Identify enzyme activity, pathways, and molecular interactions
  • Quick example: input a protein sequence to obtain a concise description of its function

Quick Start

Provide a protein sequence in FASTA format to obtain a concise functional annotation.

Frequently Asked Questions about protein-function-prediction

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

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

To predict protein function from a sequence, you input a valid protein FASTA sequence into the BioT5 model to obtain a concise functional annotation covering enzyme activity and pathway involvement.

Can I infer enzyme activity and pathway involvement using protein sequence analysis?

Yes, protein sequence analysis using the BioT5 model infers enzyme activity, pathway involvement, and complex membership directly from a provided amino acid sequence.

How does BioT5 work for protein function annotation?

BioT5 functions as a QA model that processes an input FASTA sequence to infer molecular interactions and functional properties, outputting a concise description of the protein's biological role.

What is the maximum sequence length for protein function prediction with BioT5?

The maximum recommended sequence length for protein function prediction is 512 residues to ensure accurate processing by the BioT5 model configuration.

Does protein function prediction support batch processing of multiple sequences?

Protein function prediction supports small batches of amino acid sequences, allowing you to process a few FASTA inputs simultaneously to obtain functional annotations.

What FASTA format is required to annotate protein properties?

Annotating protein properties requires a valid protein FASTA sequence as input to successfully run the BioT5 model and generate functional descriptions.