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Inductive

ChatGPT plugin

State-of-the-art ADMET models

View in ChatGPT directory
Connection
Remote

hosted by the developer

Apps SDK app
Yes

ships an in-chat UI

Movement

Over the last 30 days of daily snapshots.

Rank by placement

#2717of 3,8802places down24h1,275places down7d
#1,217#1,627#2,037#2,447Aug 26Aug 31Sep 5Sep 10Sep 15Sep 20

Also on other marketplaces

Inductive'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’s models for the physicochemical properties LogD (lipophilicity) and pKa (acid/base ionization), key drivers of solubility and permeability.

Example prompts

  • “Compare LogD across the 10-compound NSAID/analgesic panel, showing exact SMILES and ranking the returned values”
  • “Compare acidic and basic pKa across captopril, enalapril, quinapril, cilazapril, ramipril, and lisinopril”

Skills

  • compare-analogs

    Compare molecular-property predictions across analogs with Inductive Bio using matched models, explicit deltas, and cautious interpretation. Use for analog ranking, property trends, or reference-relative comparisons.

  • index

    Route Inductive Bio molecular-property requests to model discovery, prediction, or analog comparison. Use when a user asks generally about the Inductive Bio connector or wants help choosing the appropriate workflow.

  • predict-properties

    Predict currently available molecular properties for one or more exact SMILES with Inductive Bio. Use when the user requests property values for compounds rather than a ranked analog comparison.

Categories
Made by
Inductive Bio · Website
Version
2.0.0
Created At
July 21, 2026
More info