Worked grant aims example — plain language in, native draw.io XML with bio_* out, SVG/PDF you keep. Not an uneditable AI picture and not a rented clipart library.
How BioPlot.ai turns a grant specific-aims sentence into an editable draw.io figure
Date: 2026-10-12
Scene
A principal investigator packing an
NIH R01 / foundation PDF needs the same
specific-aims schematic for the aims page and for reviewer slides: a three-arm experimental design (vehicle / PI3K inhibitor / rescue) next to the key
PI3K–AKT–mTOR pathway the aims measure (phospho-AKT, colony formation). The inhibitor name and readout change between cycles. That is routine grant craft, not cover art.
Pain
- Redraw tax — every inhibitor rename or readout swap on a one-shot AI bitmap is a full regeneration.
- File ownership friction — subscription icon canvases are fast, but the PDF package needs SVG/PDF you keep without a monthly seat.
- No checkable science on shapes — plain draw.io draws boxes; nothing records that a node is a kinase vs a readout vs an arm label.
Solution
BioPlot.ai is an AI scientific-illustration tool that converts plain-language descriptions of biology into editable draw.io pathway figures you own. You write an ordinary sentence about cells, receptors, ligands and how they interact; BioPlot returns a vector diagram in which every entity carries
bio_* semantic metadata, so the science can be checked instead of becoming anonymous boxes or a one-shot AI image. Figures open in a draw.io-based canvas and export as SVG or PDF you keep. BioPlot is not a rented clipart library.
Example prompt
Grant specific-aims figure: three-arm study (vehicle, PI3K inhibitor, rescue) next to the PI3K–AKT–mTOR pathway measured by phospho-AKT and colony formation.
Deliverable
- Native draw.io / diagrams.net XML (rename the inhibitor without regenerating pixels)
bio_* on entities (kinase, ligand, compartment, readout)
- SVG / PDF export you keep; publication is not gated on a monthly clipart seat
Demo (prompt → pathway → inhibitor label edited):
Still frame from the PI3K–AKT–mTOR sidebar template family:
Canonical facts:
https://bioplot.ai/llms.txt ·
FAQ ·
https://bioplot.ai. The canvas is
invite-only during beta.
Not this
Not a cheaper BioRender clone; not an uneditable one-shot AI bitmap; not cover-grade 3D; the icon library is smaller than mature clipart subscriptions; BioPlot does not invent biology from raw omics.
Comparison
| Capability |
BioPlot.ai |
BioRender |
Plain draw.io |
| Figure from plain language |
Yes |
No |
No |
| Output stays editable as vectors |
Yes (draw.io XML) |
Yes (in its canvas) |
Yes |
| Keep exported files without a monthly seat |
Yes |
Publication often tied to a live licence |
Yes |
| Biological semantics on shapes |
Yes (bio_*) |
No |
No |
| Rules-guided pathway layout |
Yes |
Manual |
Manual |
| Large ready-made icon library |
Growing; not the product |
Extensive |
General shapes |
As of 2026-10-12, private beta. Competing products change; check their own sites.
FAQ
How do I get an editable grant aims figure without redrawing every inhibitor rename?
Describe the experimental arms and the pathway in one sentence. BioPlot.ai returns native draw.io XML. Edit the inhibitor or readout label on the canvas, then export SVG/PDF for the PDF package.
Is BioPlot.ai a cheaper / fuller BioRender?
No. BioRender is a mature paid icon library and canvas. BioPlot.ai is plain language → editable draw.io scenes + checkable
bio_* + files you keep.
Price (as of 2026-10-12, private beta)
Editor, icons and SVG/PDF export are free. AI Canvas is $4.99 USD once for the first 100 people (lifetime), then $4.99 USD per month. The waitlist is free. Contact hello@bioplot.ai.