Applications
Put causal biology to work in your programme
Use Intellomx to answer the questions that matter before making the next major discovery or partnering decision.
Discover novel drug targets
Investigate the drivers of a disease using human molecular datasets. Identify and rank potential targets that may not emerge from conventional, hypothesis-led analysis.
Validate and prioritise existing programmes
Challenge or strengthen a target hypothesis through independent network analysis. Understand where a target sits within disease biology, identify relevant pathway interactions and prioritise follow-up experiments.
Explore mechanisms and pathways
Reconstruct disease networks to develop clearer mechanistic hypotheses, understand disease heterogeneity and inform the design of new therapeutic strategies.
Investigate early safety risks
Use computational Digital Twin modelling to examine possible effects of target or pathway modulation in healthy tissues and organs. These outputs can inform prioritisation and laboratory testing; they do not establish clinical safety.
Connect targets with candidate molecules
Evaluate druggability and apply in-silico approaches to identify or rank molecules for further study. The aim is to move from biological insight towards testable therapeutic concepts.
Discover biomarkers and patient subgroups
Identify molecular features associated with disease state or potential response, supporting biomarker panels, stratification hypotheses and precision-medicine development.
Support R&D and transaction decisions
Provide an independent biological perspective on internal programmes, external assets and licensing opportunities—useful to scientific leaders, portfolio committees and business-development teams.
A focused starting point
We begin with your disease area and the decision you need to make. Following an initial discussion, we assess the available data and propose a scoped project, deliverables and potential validation steps.