Overview
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. When these predictions are surfaced directly in 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. Inductive’s full suite of models spans all tiers of ADMET assays, including microsomal stability, efflux, CYP inhibition, brain penetration, hERG inhibition, and more. Models are fine-tuned to each customer’s chemical space to advance predictive performance. To access the full suite, reach out to Inductive Bio here: https://www.inductive.bio/book-a-demo.
Tools
predict_properties
ClaudeExample Prompts
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Links
App Stats
2
Tools
2
Prompts
ChatGPT, Claude
Platforms
Category
Research DiscoveryWorks with
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