Wet-lab analytical support for AI drug discovery and development
Turn predictions into experimental evidence. Avance Biosciences supports AI-designed and AI-optimized therapeutics with analytical testing for candidate selection, model refinement, and development decisions.
Proteins & Antibody Biologics · RNA therapeutics · Gene & Cell therapies
Your design cycle. Avance’s analytical expertise.
● Custom assay development
● High-throughput analytical systems
● Automation & LIMS infrastructure
● GLP / GMP experience
FROM PREDICTED BEHAVIOR TO MEASURED PERFORMANCE
Put experimental evidence behind your next decision
AI can expand the range of candidates you explore. Experimental evidence helps determine which deserve to move forward. Avance builds analytical programs around the attributes, activities, and development questions that matter to your therapeutic.
Test your predictions
Measure the molecular attributes and biological responses that matter to your program. Use high-throughput analytical methods to investigate whether experimental results support the predicted behavior.
Generate data for your next iteration
Build experimental datasets around defined hypotheses, candidate sets, and endpoints. Agree on controls, replicates, metadata, and reporting formats before testing begins.
Advance your selected candidates
Extend analytical support into assay qualification and validation, preclinical and clinical sample testing, and CMC characterization as your program progresses.
Use experimental data to refine your AI model
Return structured, traceable results to your modeling team. Defined controls, replicates, and metadata allow the data to be used for model training, validation, and the next round of candidate design.
SUPPORT ACROSS ADVANCED MODALITIES
Analytical depth at high throughput
01
Antibodies, proteins & ADCs
Evaluate the identity, quality, and biological activity of AI-designed or optimized protein therapeutics.
- Protein identity, purity, and integrity
- Peptide mapping, charge and size variants, and impurity characterization
- Cell-based activity and potency assays
- Stability and comparability testing
Decision supported: which candidates combine biological activity with suitable product quality?
02
mRNA & delivery systems
Compare RNA constructs and delivery candidates using molecular and functional measurements.
- Sequence identity, RNA content, size, and integrity
- Encapsulation efficiency and product-related impurities
- Protein expression and cell-based potency
Decision supported: which constructs and formulations deliver the intended expression and activity?
03
Gene therapies & viral vectors
Assess AI-optimized capsids, transgenes, and expression cassettes with complementary analytical readouts.
- Vector genome titer and sequence characterization
- Transgene expression and biological activity
- Integration site analysis where appropriate
Decision supported: which designs show the intended molecular attributes, distribution, and activity?
04
Cell therapies & gene editing
Connect engineered-cell designs with measurable genomic, phenotypic, and functional outcomes.
- Identity, viability, and immunophenotyping
- Vector copy number and edited-gene profiling
- On-target and off-target gene editing analysis
- Cell-based potency, cytokine, and immune-response assays
Decision supported: which engineered candidates meet the genomic and functional criteria for advancement?
A COLLABORATIVE EXPERIMENTAL WORKFLOW
Build the testing program around your design cycle
Start with a focused analytical question or plan a recurring series of experiments. Establish the scope and data requirements before scaling the work.
Define the objectives
Share your modality, candidate set, predicted attributes, and the question the next experiment must answer. Agree on endpoints, sample requirements, and data needs.
Establish the assay
Develop or adapt methods, select controls, and assess assay performance. Set acceptance criteria appropriate to the intended use.
Generate the evidence
Test candidates or study samples using the agreed workflow, with sample tracking and documented quality checks.
Return results & plan the next round
Review findings with Avance scientists. Use the agreed data package to rank candidates, investigate unexpected results, or inform your team’s next design cycle.
WHY AVANCE BIOSCIENCES
Discovery support with a development perspective
Infrastructure to support scale
Scientific expertise, robotic workflows, laboratory space, and LIMS infrastructure provide a foundation for building repeatable testing programs around your needs.
A path into regulated development
Draw on Avance’s GLP and GMP analytical experience as selected candidates move into preclinical studies, clinical development, and product testing.
LET’S DEFINE YOUR NEXT EXPERIMENT
Tell us what your AI-designed candidate needs to demonstrate
Share your modality, development stage, sample type, and the scientific question you want to answer. Our team can discuss assay feasibility, experimental scope, and a proposal.
What to include in your first message
- Your candidate and intended mechanism
- The response or attribute to measure
- Available samples and reference materials
- Your timeline and next program milestone
Please start with a nonconfidential summary. Confidential details can be discussed under an appropriate agreement.
