Platform – zermattbiotech.com

How the Platform Works

A four-stage workflow connecting raw multi-omics data to ranked therapeutic targets.

01 / DATA

Data

Multi-omics data ingestion — RNA-seq, proteomics, patient cohort phenotypes.

02 / MODEL

Model

Pathway inference — graph neural networks learn signaling topology from data.

03 / BIOLOGY

Biology

Causal network modeling — identify root-cause drivers of disease state.

04 / TARGETS

Drug Targets

Target prioritization — rank by druggability, mechanism, and translational potential.

Four classes of deliverable for partners and internal programs.

Causal network diagrams showing how genetic dysregulation propagates into clinical phenotype.

Ranked target lists scored on mechanism centrality, druggability, and tractability.

Candidate biomarkers for trial enrichment and pharmacodynamic readout.

Hypotheses for which mechanism subgroups will respond to which therapy.

A live mechanism map of AGS-driving signaling — what partners see inside the platform.

Zermatt Platform · AGS Workspace

Live mechanism map of AGS-driving signaling — interactive in product. Hover any node above.

Request a 30-minute walkthrough with our team — we'll show the platform live on your disease of interest.