3,000
Candidates prioritized
Repurposing candidates ranked using baseline organoid proteomes and drug features. Selected candidates were tested in three TNBC patient-derived organoids.
Applications
From cellular prediction
to clinical protein measurements.
Explore AIVC for drug research, followed by our clinical diagnostics and laboratory products.
AIVC in drug discovery
Oncology response
and combinations.
ProteinTalks establishes a research foundation in breast-cancer systems. Use predictions to prioritize candidates and test hypotheses independently.
Explore the AIVC platformResearch decisions
- Prioritize drug candidates for experimental follow-up.
- Investigate protein responses, pathways and resistance hypotheses.
- Select combinations for independent testing.
- Connect model predictions to defined cell and patient-relevant research systems.
Across drug R&D
Prediction informs the decision.
Experiments establish the evidence.
01Target and molecule research
Explore biological context and connect molecular hypotheses to response evidence.
Task-specific co-development
02Cellular efficacy and response
Evaluate drug-response predictions over time in defined cell systems, then test dose–response independently.
Published oncology tasks
03Mechanistic follow-up
Investigate pathways and resistance-associated protein signatures with functional assays.
Hypotheses plus experimental testing
04Combinations and resistance
Prioritize combination hypotheses and evaluate response in relevant resistant states.
Published oncology combination tasks
05Preclinical translation
Test whether response representations transfer to patient-relevant experimental systems.
PDX response transfer and organoid research
06Clinical research
Develop biomarker and response hypotheses with clinical research partners.
Retrospective evidence; prospective work required
07Exposure and safety
Connect cellular responses to appropriate exposure models and healthy-tissue counter-screens.
Research extension requiring new evidence
Broader exposure, safety and prospective clinical uses require their own data and evaluation.
Featured study · Nature 2026
ProteinTalks
An operational perturbation proteomics-based virtual cell model.
16,311
Proteomic profiles across 18 breast-cancer cell lines.
38M+
Temporal protein measurements capturing cellular responses.
63 + 59
Drugs and drug combinations in the published response dataset.
501
Retrospective patients
A TNBC cohort supports clinically relevant prognostic research. The reported survival-analysis subgroup includes 62 low-risk and 59 high-risk patients.
Patient-derived xenografts
Response-transfer benchmark
Mean AUROC in the reported study implementations. ProteinTalks used RNA adaptation and inputs following proteomic pretraining.
Research evidence does not establish prospective treatment benefit or a universal ranking of model platforms.
ProteinTalks, Nature (2026), Figure 5 · Independent in-vitro and retrospective research evidence.
Clinical diagnostics
Protein measurements.
Clinical laboratory applications.
Explore our diagnostic products and translational proteomics capabilities.
Clinical laboratory test kit
LMDx IGF-I
Insulin-like growth factor I, measured by LC–MS/MS.
A mass-spectrometry-based test kit for IGF-I quantification, supporting laboratory assessment of growth and endocrine biology.
Thyroid-nodule proteomics
ThyroProt
Protein evidence for thyroid-nodule assessment.
Quantitative proteomics and AI for investigating benign and malignant thyroid nodules, including tissue and fine-needle-aspiration research.
Product-specific intended use and availability are separate from AIVC research predictions. Contact our clinical team for current product documentation.
Further research directions
New domains need
new biological evidence.
Immune and inflammatory biology
Defined perturbations, primary donors and matched functional readouts offer a practical direction for extending response models.
Engineering biology
Antibodies, biosynthetic pathways, agriculture and tissue engineering require task-specific data and outcomes. The virtual-yeast framework informs this longer-term research direction.
Virtual yeast · Nature 2026Research partnerships
Find the right application.
Contact our team for AIVC projects, research services or diagnostic-product enquiries.