- Customer Stories
- /
- AI Platform for CNS-Targeted Therapeutic Discovery
AI Platform for CNS-Targeted Therapeutic Discovery
Unified scientific platform for multimodal protein data, predictive modeling, and generative therapeutic design.
De-novo protein design
Proteins generated
Proteins narrowed down for experimental validation.
A clinical-stage biotech company needed a unified scientific platform to support CNS therapeutic development.
Biotech
Industry
USA
Location
ML System Design & Predictive Engines, Data Engineering, Platform Engineering, Scientific UX & Explainability
Services
Under NDA
Budget
Client’s data was fragmented across expression datasets, literature notes, protein atlases, and internal assays. Predictive modeling and generative design workflows required heavy manual input from scientific teams, slowing target evaluation and limiting scalability.
See what we can do for youSolution
We designed and engineered an end-to-end AI platform that merges scientific data engineering, predictive modeling, generative design, and LLM-based reasoning into a single product architecture.
Let’s talk about what’s possible
To build an end-to-end AI platform that merges scientific data engineering, Blackthorn AI applied:
Project duration
01–08 Weeks
Integration of multimodal scientific datasets into a Unified Knowledge Base, construction of a biomedical knowledge graph (proteins, genes, expression data, transport mechanisms), frontend/backend integration of structure prediction tools (AlphaFold-class models).
08–16 Weeks
Development of ML models for: BBB penetration prediction, carrier–protein binding, receptor–ligand interaction scoring.Integration of GNNs, protein language models, and physics-based refinement tools.
16–20 Weeks
Integration of modality-specific generative models: peptide design, antibody sequence generators, small-molecule diffusion models
20–24 Weeks
Explainability module for model outputs, benchmarking against client’s internal datasets, scientific visualization layer for interaction networks, technical documentation & reproducibility toolkits
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 Meeting400
Proteins generatedEach protein was computationally evaluated for folding integrity, functional relevance, and design novelty, enabling rapid exploration of a large sequence space that would be impractical to screen manually.
27
Proteins narrowedDown for experimental validation.
100%
De-novo protein designOur platform achieved 100% fully automated de-novo protein design, generating novel protein sequences directly from biochemical constraints and target-specific requirements.
35%
AccelerationOf early lead-optimization cycles
