Wet-Lab Validation for AI-Designed Molecules: A Practical Roadmap
AI model can generate hundreds of plausible sequences for antibody, protein or other molecules. Computational ranking can enrich for plausible binders, reduce obvious liabilities, and diversify sequence clusters. However, only experimental data generated in wet-lab can confirm which candidates express, bind, stay specific, perform as expected and remain developable. Data from wet-lab confirm whether an AI-designed molecule such as antibody or protein will fold in the selected expression system, remain soluble after purification, bind the intended antigen format, or avoid unwanted cross-reactivity. A practical validation plan therefore starts with a narrow but high-signal experiment set. This roadmap helps project managers and preclinical teams convert computational shortlists into a lean, evidence-led validation plan.
Our Advantages
ReVacc Scientific provides the competitive package for the validation for AI-designed molecules, based on the following advantages:
- With a large panel of antibody products used in multiple fields (such as virology, oncology, neuroscience and others), we have accumulated significant experience to produce antibodies and would be able to produce your AI-designed antibody robustly.
- By providing service of antibody discovery and engineering, we can provide our expertise in antibody sequence, clonality and isotype.
- We can help to design and produce antibody in different formats (such as IgG, IgA or IgM) or in different backbone (such as mouse antibody to human) or develop multi-specific therapeutic antibody (such as bi-specific or tri-specific antibody) to fit your therapeutic goal.
- With a large panel of recombinant protein products used in multiple fields (such as virology, oncology, neuroscience and others), we have accumulated significant experience to produce proteins using mammalian cell host or insect cells, so we can produce AI-designed protein robustly or validate the binding and specificity of AI-designed antibody.
- Different from others, we have a large panel of pseudovirus products, it will be easy for us to validate the biology function of AI-designed antibody.
- Different from others, we have established multiple viral packaging platforms (e.g. AAV, LVV or VSV) for AI-designed drug delivery.
Working flow
Step 1:
DNA Fragment Synthesis |
~5-7 business days |
Step 2:
Gene Clone with Sequencing Verification |
~3-5 business days |
Step 3:
Antibody or Protein Expression & Purification |
~5-28 business days |
Step 4:
Assay Characterization |
~3-5 business days |
Step 5:
Report |
~1-3 business days |
Expression: we have hosts of mammalian cell lines or insect cells to express AI-designed molecules to best mimics the native post-translation modification.
Purification: for AI-designed protein, we purify it using available tags and verify it by SDS-PAGE gel or SEC per request.
Assay Characterization: ELISA, flow, BLI, SPR or other assays will be employed to verify the binding and specificity of AI-designed molecules. With a large panel of antibody and protein we have, we will select reference molecule used in the assays. If fit, we provide pseudovirus for biology function test of AI-designed molecules, such as antibody’s neutralizing activity. Thermal stability test can be performed per request.
Report: we provide report including AI-designed molecule’s yield, binding affinity, specificity and biology function and all characterization raw data.