Discover how researchers use .bloom* to accelerate drug discovery across six core workflows.
Drug Discovery — screen millions of compounds in hours with AI-powered virtual screening, not months of manual work
Molecular Optimization — optimize lead compounds for efficacy, safety, and drug-likeness properties
Target Identification — discover novel drug targets using bioinformatics and machine learning on complex biological data
ADMET Prediction — predict absorption, metabolism, and toxicity before synthesizing, when changes are cheap
Chemical Library Design — build diverse, drug-like chemical libraries tailored to your target for high-throughput screening
Biomarker Discovery — identify biomarkers that predict treatment response with multi-omic analysis
Ivy Biosciences — AI-Powered Drug Discovery Platform
Platform Capabilities
Protein structure prediction and analysis
Molecular docking and pose generation
ADMET and toxicity screening
De novo molecular generation and design
Retrosynthetic route planning
Fragment-based drug design and scaffold decoration
Binding site detection and druggability scoring
Genomics, proteomics, and single-cell RNA analysis
Biomedical literature mining
Compound and target passport reports
Pricing
Free Seed tier with 500 credits per month. Paid plans (Grow, Flourish) for teams needing higher throughput. Student plan with free enhanced access for verified .edu emails. Enterprise plans with dedicated support and custom integrations.
Use Cases
Drug Discovery — screen millions of compounds in hours with AI-powered virtual screening
Molecular Optimization — optimize lead compounds for efficacy, safety, and drug-likeness
Target Identification — discover novel drug targets with bioinformatics and ML
ADMET Prediction — predict absorption, metabolism, and toxicity before synthesis
Chemical Library Design — build diverse, drug-like libraries for high-throughput screening
Biomarker Discovery — identify treatment-response biomarkers with multi-omic analysis
Documentation
Comprehensive guides covering a comprehensive set of tools organized by the drug discovery pipeline: target identification, structure analysis, hit discovery, lead optimization, ADMET and safety, and synthesis planning. Includes quickstarts, API references, and CLI documentation.
Open source under FSL-1.1-Apache-2.0 (converts to Apache 2.0 after 2 years). Self-hosting documentation available at ivybiosciences.com/docs.