{"product_id":"admet-ai-agent-skill-predict-drug-developability","title":"ADMET-AI Agent Skill: Predict Drug Developability","description":"\u003ch3\u003eADMET-AI Agent Skill: Predict Drug Developability\u003c\/h3\u003e\n\n\u003cp\u003eThe ADMET-AI Agent Skill provides developers with a tool to assess potential drug candidates by predicting their absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. This skill translates complex predictions into a simple developability verdict rather than just numerical data, enabling efficient decision-making in drug development.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eGenerates batch predictions for a library of chemical structures, evaluating their ADMET properties.\u003c\/li\u003e\n  \u003cli\u003eInterprets individual ADMET prediction results against DrugBank-approved percentiles.\u003c\/li\u003e\n  \u003cli\u003eFlags potential liabilities, such as hERG channel blockades, CYP enzyme inhibitions, poor Caco-2 permeability, high clearance rates, and problematic plasma protein binding.\u003c\/li\u003e\n  \u003cli\u003eUtilizes a Chemprop-RDKit graph network, trained on 41 datasets from the Therapeutics Data Commons, to run assessments at high throughput speeds on standard CPUs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDevelopers and pharmaceutical research teams using AI coding agents like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eOrganizations involved in drug discovery and development processes requiring enhanced ADMET profiling.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eRunning high-speed ADMET property predictions across extensive chemical libraries in computational drug discovery.\u003c\/li\u003e\n  \u003cli\u003eScreening drug candidates to quickly identify those with favorable developability profiles.\u003c\/li\u003e\n  \u003cli\u003eDetermining go\/no-go decisions in early-phase drug development to streamline potential candidate selection.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eTool Name: ADMET-AI 2.0.1\u003c\/li\u003e\n  \u003cli\u003eInstallation: Available through PyPI, `pip install admet-ai` (requires Python 3.11+).\u003c\/li\u003e\n  \u003cli\u003eNo GPU required; optimized for CPU processing.\u003c\/li\u003e\n  \u003cli\u003eAutomatically fetches necessary neural network weights upon first usage.\u003c\/li\u003e\n  \u003cli\u003eFor additional guidance, consult the detailed reference documentation: [running-admet-ai.md](references\/running-admet-ai.md), [endpoints.md](references\/endpoints.md), and [interpreting-predictions.md](references\/interpreting-predictions.md).\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eK-Dense-AI\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/K-Dense-AI\/drug-discovery-agent-skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003eK-Dense-AI\/drug-discovery-agent-skills\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":52986082099511,"sku":"MCP-K-DENSE-AI-DRUG-DISCOVERY-AGENT-SKILLS-ADMET-PREDICTION","price":30.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/EDj61pCSMxixrBMsbHN8C_08a81ccc5fcf428ab09c3392f45a75c5.jpg?v=1789384120","url":"https:\/\/mcpcart.com\/products\/admet-ai-agent-skill-predict-drug-developability","provider":"SPF PRO","version":"1.0","type":"link"}