AIVC for drug research
Protein-rich models and independent experiments for drug-response, combination and mechanistic research.
Drug discovery applications
Proteomics-rich AI virtual cells
AI virtual cells,
with proteins
at the core.
We develop proteomics-rich AI virtual cells, deliver research services and advance clinical diagnostics—connecting protein measurements to discovery and laboratory applications.
Conceptual protein landscape
Platforms, services and products
Explore what we do.
Proteomics research services
Quantitative, spatial, plasma, targeted and multi-omics workflows, with study design and data analysis.
View research servicesClinical diagnostics
Mass-spectrometry laboratory products and thyroid-nodule proteomics, including LMDx IGF-I and ThyroProt.
Explore clinical diagnosticsPublished oncology research
Measured biology.
Testable predictions.
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.
Sun et al., Nature (2026) · Study-specific experimental dataset.
Why protein biology
A cell is more than its transcriptome.
Proteins form the machinery of the cell. Their abundance, interactions and location help describe how that machinery responds.
A useful virtual cell needs evidence matched to the decision: the intervention, dose, time, tissue context and measured outcome. We prioritize informative protein-state experiments and integrate RNA, images and biological knowledge.
Explore the data strategyThe AIVC foundation
Measurement and prediction,
connected.
01
Spectral intelligence
MassNet · DIA-BERT · DDA-BERT
Turn mass-spectrometry spectra into interpretable protein evidence with AI-supported analysis.
Explore spectral AI02
Perturbation dynamics
ProteinTalks
Learn how protein states change after intervention, and evaluate drug-response and combination tasks.
Read ProteinTalks03
Spatial context
FAXP
Connect protein measurements to tissue location, cells and organelles through image-guided sampling.
Read the spatial method04
Multimodal integration
Knowledge · architecture · dynamics
Combine complementary molecular layers with biological priors and function-centered model design.
Read the data frameworkPublished temporal modeling and spatial measurement are foundations for our developing integrated time–space framework.
Drug research
Prioritize the next
experiment.
Start with focused oncology questions. Use predictions to select hypotheses, then test them independently.
Explore applicationsDrug-response prediction
Rank response hypotheses in a defined cellular context.
Combination research
Investigate synergy and resistant states, with independent dose–response validation.
Mechanistic follow-up
Connect protein signatures to pathways and functional experiments.
Research toolkit
Technology you can use.
Spatial protein measurements, plasma enrichment and integrated molecular analysis for your next study.
FAXP
Spatial proteomics with cell, organelle and tissue context.
Spatial technologyOmniProt
Nanoparticle enrichment for deeper plasma and serum proteomics.
Research kit and serviceIntegral-Omics
Coordinated measurement of up to six molecular layers.
Multi-omics servicesClinical 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.
Research partnerships
Bring us a biological question.
Define the intervention, context and decision. Build the evidence together.