Our Platform

Neomera builds high-resolution protein interaction landscapes across proteins, peptides, and biologics. We generate the labels modern protein ML models and discovery teams actually need — especially for difficult targets.

What current protein-interaction data is missing

Most public protein-interaction data is positive-biased. Better models need richer labels.

What Neomera adds

  • True negatives
  • Within-family selectivity
  • Native-conformation labels
  • Difficult target coverage

Built for the targets and labels others miss

Native-conformation difficult targets

Membrane proteins, GPCRs, and ion channels measured in native-like conformations.

True experimentally measured negatives

Non-binders define the decision boundary.

Within-family selectivity labels

Differentiate subtype-selective interactions from family-level binding.

One platform, comparable labels

Core and follow-on assays stay comparable end-to-end.

Coverage

We support proteins, peptides, and biologics, including GPCRs, cytokines, enzymes, kinases, peptide therapeutics, antibodies, protein-protein interactions, and protein-peptide interactions.

Membrane proteins are where differentiation is strongest — and unmet need is greatest.