Life-SciencesAssess and monitor the risk of the Inductive Bio connector in Anthropic Claude, OpenAI Codex, and Microsoft Copilot.
State-of-the-art ADMET prediction models for drug discovery
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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 the Inductive Bio Connector Exposes to Anthropic Claude
PromptArmor tracks connector risk across Claude, Codex, Copilot, and other MCP-enabled platforms. Book a demo to see the live connector risk dashboard for your environment.
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AdisInsightPharmaceutical drug & clinical trial intelligence
BenchlingAccess Benchling's scientific AI for research in Claude
Biomni Lab by Phylo — the Integrated Biology Environment for AI-native research
Predict molecular structures and binding interactions, screen libraries, and design binders with the Boltz API.
ChEMBLAccess the ChEMBL Database
Clinical TrialsAccess ClinicalTrials.gov data
