Therapeutics Biology Resolution

Resolve how a therapeutic acts through its target on a disease network - the mechanisms driving the response, the on- and off-pathway consequences of target engagement, how resistance emerges across time, and assessing the therapeutics cellular safety across stress- and cytotox-related pathways, in different tissue-derived cells.

Compounds

Antibodies

RNA
Medicines

Gene
Therapies

What it means

A Therapeutics Biology Resolution Workflow establishes how a therapeutic reshapes biology through its target within the disease network.

It reveals the mechanisms underlying response, downstream network effects, and the cell-state context in which efficacy or stress appears.

What mechanisms drive the therapeutic response?
What on- and off- pathways are activated?
How does resistance emerge across dose and time?
Do efficacy and stress signatures appear in the same cells or in different cells from other tissues?

Input

A therapeutic, its targets, and the relevant biological context.

Therapeutic candidate/modality
Known or intended target(s)
Disease context and cellular system
Dose range and time points
Controls, comparators, and optional combination modalities
Optional: safety-relevant or tissue-derived cells

Output

A Biology Resolution Data Package containing thousands of Visual Biology Tokens that deliver mechanistic therapeutic insight.

Cell images of DNA, RNA and protein modifications, amount and localization and of biological activities
Mechanisms of action across a disease network
On-target and off-target pathway activation
Resistance compensation and adaptive responses across dose and time
Evidence to support prioritization, optimization, or de-prioritization

What it resolves

Understand the mechanism

Reveal how a therapeutic acts through its target on the disease network.

Profile efficacy

See whether the intended biological response is achieved.

Assess selectivity

Differentiate on-target biology from broader pathway disruption.

Detect compensation

Identify resistance responses emerging.

De-risk safety

Spot stress and off-target signatures in disease and safety-relevant cells.

Inform strategy

Support prioritization, optimization, combinations, and go/no-go decisions.

How it works

1. Define

Define the aim

Frame the therapeutic question within a disease network and biological context.

2. Design

Design visual biology experiments

Design massive parallel Visual Biology experiments across time points, perturbations and comparators.

3. Execute

Run on the BioGPU Runtime

High-throughput automated execution of Visual Biology experiments at scale.

4. Generate Tokens

Generate Visual Biology Tokens

Every observed cellular activity event is converted into Visual Biology Tokens.

5. Resolve

Deliver the insight

The Agent analyzes the token package to resolve mechanisms, network consequences, efficacy, selectivity, stress biology, and compensation.