Life Sciences
Multi-Omics GenAI Platform
Multi-omics AI data platform for drug, indication, target discovery and repurposing
Challenge
- Efficient drug and target discovery and repurposing using genomic, transcriptomic, and proteomic data.
Solution
Our team developed a multi-omics AI data platform enabling the generation of drug candidates with desired physicochemical (logP, logS, pKa, BBBP, etc.) and biological (binding affinity, metabolic stability, toxicity, side effects, etc.) properties.
The platform included a web portal, genomics, transcriptomics, proteomics data processing, multi-omics data lakehouse, and knowledge graph combined with Generative AI. Our team proposed the vision and built this product from the ground up without external technical or domain oversight.
Stack
- Python, PyTorch, Node.js, Angular, Docker, Kubernetes, GCP
Alex Gurbych
Chief Solutions Architect
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