protein-sequence-analysis

Compute physicochemical properties, motifs, and domains from protein sequences.

64|12|Updated Apr 7, 2026

Search Tags:#sequence #analyze #protein #uniprot #disorder #motifs

Ready to run

npx skills add https://github.com/MDhewei/bioinfor-claw --skill protein-sequence-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: protein-sequence-analysis
Source: https://github.com/MDhewei/bioinfor-claw/tree/main/protein-structure-analysis/protein-sequence-analysis
Command: npx skills add https://github.com/MDhewei/bioinfor-claw --skill protein-sequence-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, scipy, requests, and includes scripts (resource) components.

What problem does it solve?

This capability automates comprehensive protein sequence characterization by computing physicochemical properties, predicting functional motifs, post-translational modification sites, and mapping annotated features onto sequences for rapid interpretation and downstream analyses.

Core Features & Use Cases

Fetch sequence from UniProt by gene symbol and species or accept a local FASTA file.
Compute molecular properties, isoelectric point, hydropathy, and secondary structure propensity, and scan for motifs and PTMs.
Generate a publication-ready feature map and an amino acid composition report to support hypothesis generation and experimental planning.

Quick Start

Provide a gene symbol or FASTA file and run the analysis to fetch the sequence, compute properties, and generate a feature map and plots.

Frequently Asked Questions about protein-sequence-analysis

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

FAQPage Schema

How do I analyze protein sequences from UniProt by gene symbol?▼

To analyze protein sequences, provide a gene symbol and species to fetch data from UniProt. The tool computes physicochemical properties, predicts motifs, and generates a feature map without requiring manual sequence downloads.

Can I compute physicochemical properties like isoelectric point from a local FASTA file?▼

Yes, you can compute physicochemical properties from a local FASTA file. The analysis calculates molecular weight, isoelectric point, and hydropathy, accepting local sequence input directly.

Does this protein sequence analysis support cross-species lookups and motif prediction?▼

Yes, protein sequence analysis supports cross-species lookups via UniProt and predicts functional motifs. It maps annotated features and post-translational modification sites onto the queried sequences.

What Python dependencies do I need to generate a protein feature map and composition plots?▼

Generating a protein feature map and composition plots requires pandas, numpy, matplotlib, scipy, and requests. These dependencies enable data processing, visualization, and UniProt API fetching.

What is the best way to characterize protein domains and PTM sites for publication-ready reports?▼

The best way to characterize protein domains and PTM sites is by running the analysis to generate a publication-ready feature map and amino acid composition report, supporting hypothesis generation and experimental planning.