Overview
A display library succeeds or fails on its design. Diversity placed where it cannot contribute is wasted, frameworks that fold and express poorly lose a large share of the library before selection starts, and unconstrained randomisation introduces stop codons, glycosylation motifs and chemical liabilities that propagate into every downstream hit. We design synthetic and semi-synthetic antibody libraries with diversity positioned structurally, codon schemes chosen deliberately, and the theoretical diversity checked against what your construction process can actually realise.
Key Advantages
Diversity Positioned Structurally
Randomised positions are chosen from paratope structural analysis and from natural repertoire statistics, so diversity lands where it can influence binding.
Repertoire-Informed Amino Acid Usage
Position-specific amino acid distributions follow observed antibody repertoires rather than uniform randomisation, which improves both folding and the proportion of functional clones.
Liabilities Excluded At The Codon Level
Codon schemes are designed to avoid stop codons, unpaired cysteines, glycosylation sequons and known chemical liability motifs before the library is built.
Realisable Diversity Assessed
Theoretical diversity is compared with the transformation efficiency you can achieve, so the design matches the library you will actually obtain.
Where This Service Is Used
Methods and Techniques Applied
What We Need From You
What You Receive
What We Compute and Report
Interpretation and Limitations
Computational predictions prioritise hypotheses; they do not independently establish binding, biological activity, therapeutic efficacy, safety or clinical validity. Performance depends on input quality, target class, the structural evidence available and the applicability domain of the selected methods. Scores used for ranking are comparative devices and should not be read as measured quantities. All deliverables are for research use only and are not intended for diagnostic or therapeutic use.
Specifications
| Item | Specification | Notes |
|---|---|---|
| Theoretical diversity | 10⁸–10¹¹ | Practical diversity limited by transformation efficiency |
| Typical turnaround | 3–6 weeks | Including in silico quality assessment |
| Formats | scFv, Fab, VHH | Naive, semi-synthetic and focused designs |
| Output | Design + oligo specifications | Ready for library construction |
Service Workflow
Scientific Consultation
We discuss the objective, the decision it supports and the data you hold. Nothing is quoted before we understand what the result has to answer.
Feasibility Review
We check that the data, target class and available structural evidence can support the proposed approach, and say plainly where they cannot.
Technical Proposal
Scope, methods, deliverables, timeline and price are confirmed in writing, together with the limitations we expect to report.
Computation and QC
The analysis runs on pinned tool versions in a containerised environment, with quality checkpoints and method comparison where that is informative.
Report and Follow-Up
You receive the ranked results, the documented methods, the limitations and a proposed validation plan, plus support in interpreting them.
Is This the Right Service for You?
Choose this service when
Consider another service when
What Goes Wrong, and How We Handle It
The failure modes that produce confident-looking results which do not survive the next experiment. Each one is designed against rather than discovered afterwards.
Case Studies
Illustrative of the shape this work takes. Details are generalised, no client or target is identified, and scope and outcome vary with the system in question.
Questions We Are Asked Before Scoping
Note: ICDMO delivers computational (in silico) services. Results prioritise hypotheses for testing; they do not by themselves establish binding, biological activity, efficacy or safety. All deliverables are for research use only and are not intended for diagnostic or therapeutic use. Downstream experimental work is scoped separately and executed through qualified partners.
Get in Touch
about Antibody Library Design (Synthetic / Semi-Synthetic)
Tell us about the target, the data you hold and the decision the result needs to support. A scientist reviews every enquiry and replies within one business day.