Lightning-Fast Graph Analytics for Drug Discovery
Human biology is subject to billions of interacting components. TuringDB manages this complexity, offering auditable and explainable accelerated drug discovery, optimised clinical trials, and simulated biological systems.
Biology is a Complex System
Therapy responses vary based on individual biology, disease evolution, sex, exposures, nutrition, and more. This vast complexity results in frequent treatment failures.
A holistic approach demands multimodal data integration: omics, clinical data, EHR, and knowledge graphs. All of this can be represented visually.
Billions of Interactions
Spatially & dynamically interacting biological components
Multimodal Data
View connections between omics, clinical, EHR, and knowledge data
Individual Variability
Account for biology, disease evolution, and exposures
Built to Manage Complexity
These systems need multilayer representation that can deal with every abstraction of biology. Our reasoning AI & graph engine analyses, interprets, and simulates the mechanisms underlying drug response in individuals and groups.
Data & Knowledge Integration in Graphs
We build custom graph solutions for pharma and biotech companies with TuringDB Custom, unifying siloed data into actionable insights.
- Unify siloed clinical, omics & trial data
- Real-time insights at sub-ms speed
- Built-in audit trail & compliance
- Branch & simulate "what-if" scenarios
- Power explainable AI & LLM grounding
- Build-up or expand your internal AI capabilities
Spatial Biology Simulation
Predict drug effects on individual patient biopsies using multilayer graph models that capture cell-cell interactions, spatial relationships, and molecular pathways.
- Multilayer models for hot vs cold tumours
- Personalised response prediction
- Root cause and critical event analysis
- Spatial and temporal event prediction
Mechanisms of Action Analysis
Characterize & simulate mechanisms, synergetic effects, and drugs to increase safety & efficacy. Build rationale based on data and knowledge of mechanisms for new drugs or repurposed drugs.
- Identify synergetic drug combinations
- Map immune circuit interactions
- Discover novel mechanisms of action
- Predict drug safety & efficacy profiles
Example: Sets of possible MoAs & their synergetic effects on an immune circuit in Squamous Cell Carcinoma
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Biopharma Applications
Spatial Omics Integration
Integrate multimodal spatial data (10X Visium, IF Multiplex, H&E) to analyse cell-cell spatial interaction networks and tumour microenvironment dynamics.
- Cell-cell interaction mapping
- TME spatial analysis
- Multi-cohort validation
Target & Drug Prioritisation
Identify and prioritise drug targets through automated reasoning paths with evidence, simulating biological responses to novel and repurposed drugs.
- 545+ drug candidates analysed
- Novel mechanism discovery
- Patient group stratification
Drug Combination Analysis
Build causal graphs to analyse drug combinations and predict synergistic effects on downstream cellular interactions in responder vs non-responder patients.
- Immunotherapy combinations
- Logical reasoning paths
- Mechanism of action mapping
Knowledge Graphs
Build comprehensive knowledge graphs connecting genes, proteins, diseases, and compounds for faster target identification and pathway analysis.
- Multi-omics data integration
- Pathway analysis at scale
- Real-time hypothesis testing
Clinical Trials
Optimise patient recruitment and trial design by analysing complex relationships in clinical data and predicting adverse events.
- Patient cohort identification
- Adverse event prediction
- Trial site optimisation
Drug Repurposing
Discover new therapeutic applications for existing drugs through deep graph traversals and mechanism of action discovery.
- Drug-disease relationship mapping
- Side effect similarity analysis
- Novel indication discovery
Why Use TuringDB for Biopharma?
Sub-Millisecond Query Performance
Analyse millions of biological entities and their relationships in real time. Run complex multi-hop queries on protein interaction networks, metabolic pathways, and disease associations without waiting.
Auditable & Explainable
Built with critical industries like healthcare in mind. Track every reasoning path, maintain full audit trails, and ensure explainable AI for regulatory compliance.
Deep Graph Traversals
Run deep graph traversals and multihops on large graphs to simulate complex biology. Analyse cell-cell interactions, spatial relationships, and temporal dynamics at scale.
Enterprise Security
Deploy on-premises or in your VPC with full control over sensitive research data. Meet HIPAA, GDPR, and other regulatory requirements with built-in security features.
Ready to Transform Your Drug Discovery?
Join the leading biopharma companies using TuringDB to accelerate research and bring therapies to patients faster.