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How we work

Co-development and our own programmes are meant to run through the same loop: find the target, design the binder, test it in tumouroids, learn from the result.

A programme with a partner

A co-development project runs as a research collaboration. Every result comes with the validation data it rests on.

The partner brings

  • An oncology target question, such as a surface target that still lacks a good binder
  • The criteria a result is measured against

Oncera delivers

  • Prioritised surface targets from tumouroid proteomes
  • Binder candidates, scored for off-target risk and developability
  • Validation data from patient-derived tumouroids, compared with healthy systems

Who owns results and inventions is set out in each collaboration agreement.

Three drug programmes in three tumour types

Our own programmes are meant to test the platform prospectively and to produce the starting points that partnerships build on.

Hepatocellular carcinoma (HCC)

A highly selective binder against a tumour-associated surface antigen. It has to tell the tumour apart from healthy liver tissue.

Pancreatic cancer (PDAC)

A starting point for a binder or an antibody-drug conjugate (ADC). It has to reach its epitope inside a stroma-rich tumour.

Cholangiocarcinoma (CCC)

A bispecific ADC concept. A second, rapidly internalising antigen is meant to carry the drug into the tumour cell.

All three programmes are preclinical. Laboratory data on the binders is still to come.

Our own harness drives our own specialist models

BEAM stands for Biomolecular Estimator of Atomic Moieties. The stack runs locally on a GPU workstation: a language model acting as the harness calls Boltz 2 to pre-sort and BEAM R2 to score the energetics, and returns an improved binder. Every round starts with a VHH sequence and ends with a better one.

1,600,000×

less compute than Flex ΔΔG at comparable ranking quality (Spearman ρ about 0.25)

An estimate based on unpublished data from the team’s project work.

VHH sequence 1

starting binder

Language-model harness

Qwen 3 80B, local. Drives our own models.

Boltz 2

open source, local, pre-sorts

BEAM R2

our own model, scores the energetics

back into the next round

VHH sequence 2

optimised binder

A schematic drawing, no measured data.

Our own biobank is patient-derived and validated on five levels

The tumouroids grow from patient tissue and are the basis the loop runs on: they supply the surface proteome for prioritisation and are the system a candidate is to be tested in. The bank has grown with funding from Bayern Innovativ, DATIpilot and the institute.

32 patient-derived models

Hepatocellular carcinoma
15HCC
Cholangiocarcinoma
7CCC
Pancreatic cancer
10PDAC

Validated on five levels

  • Transcriptional

    the transcriptome matches the patient tissue

  • Genomic

    the genome matches the patient tissue

  • Proteomic

    the surface proteome matches the patient tissue

  • Functional

    drug response tested functionally

  • Freedom to operate (FtO)

    rights of use settled

Figures as of October 2026.

A closed design-test-learn loop

Most pipelines run target discovery, binder design and validation as separate workstreams, and only find out at the end whether they agreed. Oncera sets them up as one loop, so that every experiment feeds the next design round. The first round with laboratory data on binders is still ahead.

  1. 01
    Patient-derived tumouroidsA culture dish in section with medium, holding three tumoroids as cell clusters with a lumen, one of them picked out.

    Patient-derived tumouroids

    Feeds the loop

  2. 02
    Surface target prioritisationFive proteins stand in the cell membrane, a lipid bilayer. One carries a marked epitope and is circled, the prioritised target.

    Surface target prioritisation

    Feeds the loop

  3. 03
    BEAM binder generationThree binder designs above a target protein in the membrane, one sits on the epitope.

    BEAM binder generation

  4. 04
    Binding assaysA binding curve on two axes: association, plateau, dissociation.

    Binding assays

  5. 05
    Validation in tumouroidsTwo dishes side by side. On the left a tumoroid with binders docked on its cells. On the right a healthy reference organoid with the binders left free above it.

    Validation in tumouroids

  6. Each round is meant to improve the next design

  1. 01

    Patient-derived tumouroids

    Feeds the loop

    MicroOrganoPits grow tumour avatars from patient material and hold the transcriptional fidelity that 2D cell lines lose.

  2. 02

    Surface target prioritisation

    Feeds the loop

    Tumouroid proteomes and transcriptomes are read against hepatocyte reference organoids and public tumour-normal datasets, surfacing epitopes that abundance-driven screens miss.

  3. 03

    BEAM binder generation

    The BEAM stack generates candidate binders against the prioritised epitopes and scores them for affinity, off-target risk and developability before anything reaches a bench.

  4. 04

    Binding assays

    The most promising designs are to be synthesised and measured against the target protein by SPR and BLI. Affinity and kinetics are to decide which candidate goes into a cell system.

  5. 05

    Validation in tumouroids

    Candidates are to be tested against the same patient-derived systems they were designed for, and against healthy comparators. The comparison is meant to show whether a candidate is selective.

Tumouroids and prioritisation run once per patient line, and the loop is meant to run as often after that as it takes. The tumouroid lines are the basis it runs on: they supply the surface proteome that prioritisation reads, and they are the system a candidate is to be tested in.

The platform carries more than one modality

Oncera develops VHH binders and antibody formats for solid tumours. The binder can be the drug itself or take a payload to the tumour cell, such as a small-molecule drug, an oligonucleotide or a radionuclide.

  • Antibody-drug conjugate (ADC)
  • Antibody-oligonucleotide conjugate (AOC)
  • Antibody-radionuclide conjugate (ARC)

For ADCs, the next project phase already tests internalisation, trafficking and in vitro toxicity (WP5.3). AOC and ARC are options for the future. Each payload has to be tested separately.

What we measure

Benchmark and laboratory figures go on this page once they have been re-run and cleared. Until then, this is what is measured, and against which baseline.

  • Sequence recovery of the BEAM model

    against ProteinMPNN and AbMPNN on the same test set

  • CDR-H3 retrieval rate

    against the published baseline for the same task

  • Tumouroid take rate for HCC and CCC

    against conventional organoid culture

One piece of evidence is still open: that generated binders bind on patient-derived tumouroids and distinguish them from healthy comparators. The next project phase is meant to deliver it.

Built to run where the data is

BEAM runs on a local GPU workstation and is not run as a network service. For a co-development project it is meant to be installed at the partner, so that sequences and structures stay on the partner's premises. The page on security and compliance lists the other tools Oncera uses and where they run.

Security and compliance