ICDMO's antibody development platform integrates immunology expertise, advanced hybridoma technology, phage display, and recombinant expression to deliver custom antibodies of exceptional quality. Whether your goal is a research-grade polyclonal serum, a hybridoma-derived monoclonal for diagnostic standardization, or a sequence-defined recombinant IgG for therapeutic development, our team manages every step from antigen design through application validation.
Every antibody project is supported by rigorous titer monitoring, specificity confirmation, and application-specific validation. We offer optional epitope mapping, affinity measurement (SPR/BLI), isotype determination, and conjugation services to deliver a fully characterized antibody ready for your intended use.
Each platform is supported by dedicated scientists with deep immunology and protein engineering expertise.
Note: All timelines are estimates for standard projects. Complex antigens or low-immunogenicity targets may require additional immunization rounds. For GMP-grade therapeutic antibody production, please contact us for a customized development plan.
The results below were published by independent groups and are cited to show what these computational approaches have achieved in the literature. They are not ICDMO project results, and outcomes vary substantially between targets, datasets and programmes. We do not promise comparable results for any particular project.
Computational interface redesign produced a tenfold affinity improvement in cetuximab, reaching 52 pM, and a 140-fold improvement to 30 pM for an anti-lysozyme model antibody — improvements achieved by designing a small number of interface substitutions rather than by library selection.
Lippow, Wittrup & Tidor, Nature Biotechnology, 2007 ↗A 2024 study combining structural interface analysis with sequence-derived evolutionary information reported a predictive model for antibody–antigen interaction with an area under the curve of 0.83 and precision of 0.89 on held-out data, and experimentally confirmed a designed point mutation that improved affinity 2.5-fold to 2 nM. Typical computational maturation gains are modest per mutation, which is why a designed panel is measured rather than a single variant.
Experimental validation study, 2024 ↗Computational antigen and epitope analysis improves the odds of a campaign; it does not determine whether an animal or a library will yield binders. Immunogenicity prediction is indicative rather than decisive, and developability scores flag risk rather than establish outcome. Immunisation, expression and binding characterisation are executed by qualified partner laboratories and scoped separately from the computational work.
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