Partnering challenge
Turn disconnected multi-omics data into clear, contextual causality
Product
GenOptimiser
Turn disconnected multi-omics data into clear, contextual causality
Engine
The Engine
GenOptimiser unifies massive omics datasets (transcriptomics, proteomics, metabolomics, epigenomics) into a single database logic to uncover true contextual causality. By integrating network pharmacology and perturbation theory, we move past basic correlations to map the absolute root causes of complex diseases.
Workflow
Value Pipeline
01. Signal Cleansing (Expression Patterns)
The TechKnowledge graph, control theory and network pharmacological approaches.
Value AddedStrips out baseline cellular noise and irrelevant signals. Cuts false positives at ingestion to isolate true molecular drivers.
02. Disease Digital Twins
The TechMulti-layered network science.
Value AddedMaps a target’s entire biological neighborhood across the transcriptome, proteome, and metabolome simultaneously. Exposes hidden therapeutic targets and the root causes of drug resistance.
03. Perturbation Simulations
The TechDynamic stress modeling.
Value AddedSimulates how biological networks respond to compounds before hitting the wet lab. Predicts dynamic pathophysiology instead of relying on speculative, retrospective data.
04. Toxicity Boundary Mapping
The TechSystems-level pharmacology sandboxing.
Value AddedPinpoints exactly where therapeutic compensation ends and adverse toxicity begins. Scores molecules to prioritize candidates with optimal safety profiles.
Evidence
Proof
Peer-Reviewed & Published
Built on core mathematical frameworks vetted and approved by independent peer review, replacing unverified "black-box" AI with rigorous science.
Preclinically Validated
3 active drugs identified and preclinically validated in primary mitochondrial diseases (PMDs).
Mechanistic Clarity
Mapped exact disease and drug mechanisms of action (MoA) for Huntington's disease (HD) and Hypochondrodysplasia (HCD).
Broad Indication Success
Formally modeled for Urea cycle disorders, severe immunodeficiencies, and feeding disorders (anorexia nervosa, addiction).
For partners
Buyer details
What we organize
Unify your transcriptomics, proteomics, epigenomics and metabolomics datasets into an automated network pharmacology workflow.
Partner-ready outputs
Instant publication-grade network maps and audit-ready strategic briefs.
Compliance
100% EU-hosted; built by biophysicists to be verifiable, traceable, and auditable.
Access model
Flexible Annual Platform Subscription or project-specific Contract Research Agreement (CRA).
Resources
Publications and case studies
Publication · 2024
Slc20a1 and Slc20a2 regulate neuronal plasticity and cognition independently of their phosphate transport ability
Ramos-Brossier M, Romeo-Guitart D, Lanté F, et al. Cell Death & Disease. 2024;15:20.
View publisher recordPublication · 2022
SARS-CoV-2 Viroporins: A Multi-Omics Insight from Nucleotides to Amino Acids
Sarkar M, Etheimer P, Hannothiaux V, Saha S. Applied Microbiology. 2022;2(3):572-593.
View DOIPublication · 2023
Modeling of SARS-CoV-2 Virus Proteins: Implications on Its Proteome
Sarkar M, Saha S. In: Homology Modeling. Methods in Molecular Biology, vol. 2627. Humana; 2023.
View publisher recordPublication · 2025
A primary cilia–autophagy axis in hippocampal neurons is essential to maintain cognitive resilience
Rivagorda M, Romeo-Guitart D, Blanchet V, et al. Nature Aging. 2025;5:450-467.
View DOIPublication · 2025
Progressive muscle metabolic reprogramming in asymptomatic ALS gene mutation carriers
Buon C, Milunov D, Sapaly D, et al. bioRxiv. 2025.12.15.694300.
View DOI
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