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bio-proteomics-ptm-analysis

Maintainer FreedomIntelligence · Last updated April 1, 2026

Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Covers site localization, motif analysis, and quantitative PTM analysis. Use when analyzing phosphoproteomic data or other modification-enriched samples.

OpenClawNanoClawAnalysisReproductionbio-proteomics-ptm-analysis🧬 bioinformatics (gptomics bio-* suite)bioinformatics — proteomics & metabolomicspost

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-proteomics-ptm-analysis

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Python: pyopenms for PTM-aware search, scipy for site-level statistics.
  • CLI: MaxQuant with variable modifications for enrichment-based PTM analysis.
  • Analyze phosphorylation sites from my proteomics data" → Identify and quantify post-translational modifications including phosphorylation, acetylation, and ubiquitination with site localization and motif analysis. Python: pyopenms for PTM-aware search, scipy for site-level statistics CLI: MaxQuant with variable modifications for enrichment-based PTM analysis.
  • phospho = pd.read_csv('Phospho (STY)Sites.txt', sep='\t', low_memory=False).

Source Doc

Excerpt From SKILL.md

Processing MaxQuant PTM Output

Goal: Extract high-confidence phosphorylation sites from MaxQuant output with proper filtering and site annotation.

Approach: Load the Phospho(STY)Sites table, remove reverse hits and contaminants, filter by localization probability, and construct gene-level site identifiers.

import pandas as pd
import numpy as np

## Filter valid sites

phospho = phospho[
    (phospho['Reverse'] != '+') &
    (phospho['Potential contaminant'] != '+')
]

## Filter by localization probability

phospho_confident = phospho[phospho['Localization prob'] >= 0.75]
print(f'Confident sites (prob >= 0.75): {len(phospho_confident)}')

Use cases

  • Use when analyzing phosphoproteomic data or other modification-enriched samples.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • peptide-identification - Identify modified peptides
  • quantification - Quantify PTM sites
  • pathway-analysis/go-enrichment - Enrichment of modified proteins

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