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 platform

Research 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.

Discuss an AIVC project

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.

Read the publication
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.

3,000

Candidates prioritized

Repurposing candidates ranked using baseline organoid proteomes and drug features. Selected candidates were tested in three TNBC patient-derived organoids.

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 products and enquiries
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 2026
Research partnerships

Find the right application.

Contact our team for AIVC projects, research services or diagnostic-product enquiries.

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