Figures for Traditional Chinese Medicine Research: Mechanism Diagrams, Network Pharmacology Workflows and Roadmaps
2026/10/13

Figures for Traditional Chinese Medicine Research: Mechanism Diagrams, Network Pharmacology Workflows and Roadmaps

A practical guide to the figures used in traditional Chinese medicine papers and grant proposals: the multi-component, multi-target, multi-pathway mechanism diagram, the network pharmacology workflow, the acupuncture pathway schematic, the research roadmap and the hypothesis figure. Covers where each one goes, a structure that works, common mistakes, and prompts you can copy and edit.

💡 SciDraw AI Research Roadmap Maker: includes a template for traditional Chinese medicine research. Replace the sample text with your own and get a first draft. Generate a roadmap →


The proposal needs a roadmap and a mechanism figure. What you have is a compound–target network exported from software: several hundred nodes that become unreadable at half-page width.

Figures for traditional Chinese medicine (TCM) research have to carry many components and targets, combine TCM theory with modern assay readouts, and separate what was predicted from what was verified. This guide covers the figure types one by one. For general grant figures, see the research grant illustration guide.

The example images are labelled in Chinese and are structural examples only. The components, targets and pathways shown are illustrative and must be replaced with what your own data and literature support.


Which figures a TCM project usually needs

FigureWhere it goesWhat it answers
Multi-component, multi-target, multi-pathway mechanism diagramDiscussion of a paper; background of a proposalWhich components act on which targets and pathways
Network pharmacology workflowFirst figure of the methodsHow the targets were screened, and with which databases
Acupuncture pathway schematicDiscussion; background of a proposalHow stimulation at an acupoint reaches the effector organ
Research roadmapResearch plan of a proposalWhat is done in what order, and what each step produces
Hypothesis figureEnd of the background; aimsThe one statement the project sets out to test
Graphical abstractSubmitted with the manuscriptSubject, method and main finding at a glance

Formula mechanism diagram

Structure: four columns from left to right: formula and representative components → core targets → signaling pathways → effect or phenotype, with 3–6 nodes per column. Use solid lines for experimentally verified links and dashed lines for predicted ones. Use pointed arrows for activation and flat-headed (T-bar) arrows for inhibition, and say so in a legend.

Common mistakes:

  • Copying every edge from the network analysis, so the figure becomes a tangle.
  • One arrow style for everything, so up- and down-regulation look the same.
  • Herbs on the left and disease on the right, with no component or target layer between them.
Mechanism diagram of a herbal formula, 16:9 landscape, four columns from left to right, each with a column heading.

Column 1, formula and components: [formula name], with [component A], [component B], [component C]
Column 2, core targets: [target 1], [target 2], [target 3], [target 4]
Column 3, signaling pathways: [pathway 1], [pathway 2]
Column 4, effects: [reduced inflammation], [reduced tissue injury]

Links: [component A] to [target 1] and [target 2]; [component B] to [target 3]; [component C] to [target 4].
[target 1] and [target 2] point to [pathway 1]; [target 3] and [target 4] point to [pathway 2].
[pathway 1] to [reduced inflammation] uses a flat-headed arrow for inhibition; all other arrows are pointed, for activation.
The [component C]–[target 4] link is predicted, so draw it dashed; all other links are solid.
Legend at bottom right: solid = verified, dashed = predicted, pointed = activation, flat-headed = inhibition.
Use only the text I have given. Do not add components, targets or organs that I did not mention.

Example mechanism diagram of a herbal formula with components, targets and pathways (labelled in Chinese)

The mechanism figure generator suits this layout. If the figure is about the upstream and downstream molecules of one pathway, use the signaling pathway diagram generator.


Network pharmacology workflow

Structure: eight steps in one row or two: component screening → target prediction → disease targets → intersection → PPI network → GO/KEGG enrichment → molecular docking → experimental validation. Under each step, add the database, software and screening criteria in small type.

Common mistakes:

  • Step names only, with no databases or thresholds, so the work cannot be repeated.
  • Screenshots of the PPI network or enrichment plots pasted into the workflow. Results belong in their own figures.
  • "Experimental validation" sitting at the end with no link to the core targets found earlier.

To prompt for it, list the eight steps with your own databases and thresholds, ask for equal-sized boxes, and state that arrows show sequence only, with no flat-headed inhibition arrows.


Acupuncture pathway schematic

Structure: an outline of the body or the experimental animal on the left, with the acupoint and stimulation method marked. The pathway then runs in order: acupoint stimulation → afferent nerve → central relay → efferent route → effector organ and readouts. Write the stimulation parameters next to the acupoint, draw unverified segments dashed, and use a flat-headed arrow for suppression.

Common mistakes: the acupoint drawn on the wrong side or surface of the limb; unverified segments drawn as solid lines; no stimulation parameters and no sham or non-acupoint control.

Example schematic of an anti-inflammatory neural pathway for electroacupuncture at Zusanli (labelled in Chinese)


Research roadmap

Structure: portrait, five modules from top to bottom: clinical problem and TCM rationale → efficacy testing → material basis and target prediction → mechanism validation → expected outcomes. Label the arrow from target prediction to mechanism validation "hypothesis".

Common mistakes: TCM terms (syndrome, treatment principle) and assays such as Western blot in the same box; modules placed side by side with no visible dependency; every readout listed.

Example research roadmap for a traditional Chinese medicine project (labelled in Chinese)

The research roadmap maker has a TCM research template with this structure.


Hypothesis figure

Structure: one figure, one hypothesis. Three parts from left to right: intervention (formula or acupuncture) → key target and pathway → phenotype. Draw links supported by preliminary data as solid lines, and links the project will test as dashed lines with a question mark.

Common mistakes: all solid lines, which turns a hypothesis into a conclusion; three or four pathways in one figure; steps that have no matching experiment in the roadmap.

More layouts are in the scientific hypothesis diagram guide. For a graphical abstract, reduce the mechanism figure to subject, method and finding, and use the graphical abstract maker.


Four pitfalls specific to this field

  1. Predicted targets drawn as verified results. Draw predicted links dashed and say so in the legend.
  2. A component–target network too dense to read. Show only core targets; put the full network in the supplementary material.
  3. TCM terms and modern readouts in one box. Keep them in separate layers.
  4. Acupoints in the wrong place. Check against a standard acupoint reference.

What to check after generating

An AI-generated figure is a draft. The author has to verify it:

  1. Every component–target link against your own data and cited literature. Delete any link without support.
  2. Activation and inhibition symbols, and whether they match the legend.
  3. Acupoint location and nerve pathway against acupoint and anatomy references.
  4. Anything added that you did not write, such as an extra target or organ.

Small changes can be made in SciDraw AI by text instruction. New accounts get 10 free credits at sign-up plus 5 per day, and one 2K diagram costs 5 credits.


FAQ

Q1: How is a mechanism diagram different from a hypothesis figure?

A: A mechanism diagram summarizes existing evidence. A hypothesis figure shows the single line the project will test and marks the unverified steps.

Q2: Can I put the exported network directly in the main text?

A: Not when it has many nodes. Use a simplified figure and move the full network to the supplement, if one is allowed.

Q3: How should TCM terms appear in an English figure?

A: Give acupoints with their international codes, follow the target journal's conventions for syndrome and formula names, and keep one form throughout.

Q4: Which export format is easiest to edit later?

A: PNG is enough for a Word document. To change text or colors later, export SVG (10–15 credits) or PPTX (10 credits) and continue in your own software.


Summary

Before drawing, decide whether the figure shows existing evidence, predictions or a hypothesis to test, how many columns or layers it has, and which arrows mean inhibition. Then adapt the prompt, replace the bracketed text, and check the draft link by link.

👉 Generate a roadmap with the TCM research template

Auteur

avatar for Davie Chen / SciDraw AI
Davie Chen / SciDraw AI

Researcher

Davie Chen is a researcher at the Faculty of Animation and Intermedia, University of Arts in Poznan, studying generative AI for scientific figure creation, patent illustration, and manuscript drafting. SciDraw AI is one of the research-to-product tools built from this work.

Author profile

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