CDD Vault
CDD Vault is an AI-powered Science tool — AI drug discovery database. Best for: Science. Pricing: Freemium (GateOnAI Score: 51/100).
AI drug discovery database
A cloud‑based platform stores and organizes small‑molecule data for drug discovery projects. Users upload structures, assay results, and metadata via spreadsheet import or direct drawing tools. The system indexes each compound, enabling substructure and similarity searches across the entire repository. Built‑in SAR (structure‑activity relationship) tables let scientists visualize potency trends without leaving the database. Access controls restrict view and edit rights, ensuring confidential project information stays within authorized teams and provides encrypted backups for data safety. Collaboration features let multiple researchers work on the same dataset in real time. Comment threads attach to individual compounds, and change logs record every edit for audit compliance. An API provides programmatic access, allowing integration with electronic lab notebooks, cheminformatics pipelines, and machine‑learning models. Export functions generate CSV, SDF, or PDF reports, supporting downstream analysis. The free tier offers unlimited users but caps total compound count, while paid plans expand storage, add advanced analytics modules, and include priority support. Typical users include medicinal chemists, pharmacologists, and bioinformatics teams in biotech firms or academic labs. They rely on CDD Vault to keep chemistry inventories consistent, to share SAR insights across departments, and to meet regulatory documentation requirements. The interface runs in any browser, requiring no local installation, and supports role‑based single sign‑on via SAML or OAuth. Pricing scales per storage tier; a modest monthly fee unlocks unlimited compounds, custom reporting, and dedicated onboarding assistance. Organizations can trial the free plan for a few weeks before committing to a paid subscription.
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Works Well With
Tools that CDD Vault genuinely connects with, based on real input/output compatibility data (not just shared category):
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