COMPUTATIONAL BIOLOGY WORKSPACE

From gene expression to actionable discovery.

A unified research environment for target identification, drug-target analysis, and AI-assisted affinity prediction.

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Private, authenticated research workflows
TARGET IDENTIFICATION ACTIVE
Expression signal0.85
ONE CONNECTED PIPELINE

Research moves in one direction.

Turn complex biological data into a clear path for investigation, without stitching together disconnected tools.

01

Identify targets

Upload gene-expression data, configure preprocessing, and train models through a guided interface.

02

Explore interactions

Connect expressed genes with drug associations and molecular representations from integrated datasets.

03

Prioritize candidates

Generate embeddings and predict drug-gene affinity to focus the next stage of discovery.

Configurable ML experiments
DepMap-informed associations
Multi-modal embeddings
Reproducible artifacts