TREAT-AD
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Technical Summary
The TREAT-AD (Target Enablement to Accelerate Therapy Development for Alzheimer’s Disease) dataset is an open-science platform providing extensive multi-omics data, target enabling resources, and bioinformatics tools to accelerate discovery of novel treatments for Alzheimer’s.
Key Capabilities
- Target Identification: Provides access to harmonized genetic, transcriptomic, proteomic, and epigenomic data from human post-mortem brain tissue.
- Drug Discovery: Includes high-quality structural and chemical biology resources (like crystal structures and chemical probes) for prioritized Alzheimer’s disease targets.
- Data Integration: Integrates directly with the broader AD Knowledge Portal ecosystem for cross-study analysis.
Usage in Healthcare
TREAT-AD enables computational biologists and drug discovery scientists to build sophisticated machine learning models that identify novel therapeutic targets and predict drug responses for Alzheimer’s disease, significantly derisking the early stages of the drug development pipeline. Access to specific patient-level data may require data use agreements via the Synapse platform.