- Case Studies
- /
- HTG Molecular Diagnostics
HTG Molecular Diagnostics
AI Drug Discovery Platform Using Multi-Omics Data
Cost reduction in early-stage drug discovery
Validated candidates with confirmed biological activity
Reduction in unnecessary synthesis of drug candidates
Multi-omics AI data platform for drug, indication, target discovery and repurposing
Check TestimonialBiotech
Industry
USA
Location
AI Ops & MLOps, Cloud Architecture, UI/UX Design
Services
$200,000 to $999,999
Budget
The team surpassed expectations on timelines, provided much needed guidance and overall input on design, all while operating with a high degree of autonomy.
Carl Kaub
Vice President of Chemistry at HTG Molecular DiagnosticEfficient drug and target discovery and repurposing using genomic, transcriptomic, and proteomic data
See what we can do for youSolution
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.
To support high-throughput drug discovery and streamline multi-omics data processing across scientific teams, Blackthorn AI applied a production-grade tech stack including:
Project duration
01 Month
Collected project requirements, designed the scalable architecture for multi-omics processing, and defined key user flows for the web platform and molecule generation.
02 Month
Built ingestion pipelines for omics data, launched the initial biomedical knowledge graph, and deployed secure GCP infrastructure with access control.
03 Month
Developed AI modules for drug-like molecule generation, added validation filters for key properties, and integrated a scoring system to assess quality and novelty.
04 Month
Deployed a unified multi-omics data lakehouse, connected AI outputs to the real-time knowledge graph, and automated workflows for ETL, descriptor computation, and annotation.
05 Month
Delivered the researcher-facing web platform with molecule browser, query builder, analytics tools, and integrated front end with the AI engine and export features, along with admin controls.
06 Month
Conducted full QA and validation across all components, prepared candidate molecules for wet lab testing, and handed off documentation and onboarding materials to the HTG team.
Team Size
Delivering Impact
Beyond the values already highlighted, there’s even more to discover. Our commitment to innovation, client success, and impactful results sets us apart
Book a Meeting23
Validated candidates with confirmed biological activityOut of 300 molecules screened, 23 candidates demonstrated IC50 values lower than the reference compound
90%
Reduction in unnecessary synthesis of drug candidatesAdvanced in silico screening and predictive modeling filtered out low-potential molecules prior to synthesis, minimizing chemical resource use and accelerating time-to-lead
80%
Cost reduction in early-stage drug discoveryBy leveraging AI-driven multi-omics data integration and candidate prioritization, the platform significantly reduced experimental overhead and wet-lab costs in the hit-identification phase
