BioMate AI
Researchers studying disease biology to identify drug targets

Target identification · 中文

How we identify
targets

The hardest decision in a drug program is which target to pursue · we make it from human biology

Why it decides everything

Most drugs fail on the target
not the molecule

A perfect molecule against the wrong target still fails. So we treat target identification as a first-class discipline, and we anchor it in human biology — what patient data and human genetics say actually drives the disease — rather than in what is already being drugged. We look across diseases, not one at a time, and we work drug-blind: a target has to earn its place on the evidence, not on the fact that someone else is already chasing it.

From evidence to a shortlist

Many candidates in
a few credible targets out

We start from human-genetic and patient evidence, rank candidates by how causally they drive the disease, and keep only the ones that clear every gate that matters.

What we start from Human genetics / GWAS Patient multi-omics Disease-tissue expression Treatment response Cross-disease, drug-blind analysis ranks genes by causal human-genetic evidence Every target must clear these gates Causal human geneticsgene causally linked to the disease Expression in disease tissuethe right cells and compartment Mechanistic plausibilitya credible path to patient benefit Tractable with our modalityreachable by a cyclic peptide Novel & differentiatednot a crowded, me-too target Prioritizedtargets

A prioritized target then enters the design engine — see how we design against it →

What makes a target credible

Five gates every time

Causal human genetics

Human genetic evidence that the gene actually drives the disease — not just correlates with it.

Expression in disease tissue

Present in the right cells and the right compartment, where a medicine could act.

Mechanistic plausibility

A credible biological path from engaging the target to a benefit for patients.

Tractable with our modality

Reachable by a cyclic-peptide / macrocycle — including hard interfaces others set aside.

Novel & differentiated

Distinct from crowded, me-too targets, with clear freedom to develop.

Shared across diseases

Where a single target reaches more than one immune-mediated disease, its value compounds.

Work with us

From the right target
to a real medicine