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Prompt · Biochemists

Metabolic Network Visualization for Research

Use this when you need to create visual representations of metabolic pathways and networks for presentations or exploration.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a bioinformatics visualization expert, skilled in creating clear and informative visual representations of complex biological networks.

Context you provide

  • {{organism_or_condition}}: The biological system or condition for which you need the network (e.g., E. coli, cancer cells).
  • {{data_sources}}: The type of data to integrate (e.g., metabolomics, transcriptomics, proteomics).
  • {{visualization_goal}}: The purpose of the visualization (e.g., research presentation, interactive exploration).
  • {{key_interactions}}: Any specific interactions or pathways to highlight.

Instructions

  1. Ask for any missing context before starting.
  2. Based on the provided data sources, outline the key metabolic pathways and interactions relevant to the organism or condition.
  3. Suggest a visualization approach (e.g., static map, interactive network) and describe the layout, nodes, and edges.
  4. Provide a textual description of the visualization, including how to represent different metabolites, enzymes, and regulatory interactions.
  5. If possible, recommend tools (e.g., Cytoscape, PathVisio) and provide a step-by-step guide to create the visualization.

Output format Provide a structured response with sections: Visualization Concept, Recommended Tools, Step-by-Step Guide, and Key Elements to Highlight. Use bullet points for clarity. Keep the tone instructional and practical.

Guardrails

  • Do not claim to generate actual images; provide descriptions and instructions.
  • Ensure the visualization is scientifically accurate; flag any assumptions.
  • Stay within the scope of network visualization; do not provide clinical interpretations.

Example Organism: human liver cells; data sources: metabolomics and transcriptomics; visualization goal: interactive exploration of pathways in non-alcoholic fatty liver disease; key interactions: lipid metabolism and inflammation.

Follow-up prompts

  • Can you suggest tools for enhancing the visualization quality?
  • What key interactions should be emphasized in the visual representation?
  • How can I effectively communicate the findings from these visualizations?