Inductive Bio
State-of-the-art ADMET models
- Category
- AI
- Primary Subcategory
- Scientific & Biomedical Research Data
Integration details
Description
Inductive Bio’s absorption, distribution, metabolism, excretion, and toxicity (ADMET) models predict the chemical and pharmacokinetic properties that determine whether a molecule can become a viable drug. By surfacing these predictions directly in your conversation, scientists can evaluate compounds, triage ideas, and prioritize which molecules to synthesize, without leaving their existing workflow. Through this MCP server, users can access Inductive Bio’s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Primary Subcategory
- Scientific & Biomedical Research Data
- Secondary Subcategories
- None listed
- Brand
- Inductive Bio
- Access
- Account required
- First tracked
- 2026-08-21
- Tool count
- 2
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
ChatGPT Plugin Discovery Score
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What discovery looks like

Competing in ChatGPT Scientific & Biomedical Research Data
View Category2 tools agents can invoke
How do I improve a ChatGPT Plugin's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are Inductive Bio alternatives on ChatGPT?
As of 2026-08-28, Inductive Bio competes with Dewey Data, Proto, Protplex, smarts.bio: AI for biology, TaqMan Assay Search in ChatGPT Scientific & Biomedical Research Data, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.