Degrader programmes are expensive to run empirically, and the early decisions — is this target degradable, which ligase, which warhead — set most of the cost that follows. We assess target degradability from lysine accessibility, turnover and surface compatibility, shortlist E3 ligases on expression and structural grounds, and run virtual screening or ligand triage to find warhead chemistry. The output is a reasoned starting point rather than a list of compounds to make on hope.
Lysine availability, surface accessibility, protein half-life and known ubiquitination sites are examined first, because a target that cannot be productively ubiquitinated will not be rescued by better linkers.
CRBN and VHL are the obvious starting points but not always the right ones. Tissue expression, surface complementarity with your target and resistance liabilities are weighed explicitly.
Existing binders are assessed for exit vectors that can carry a linker without destroying affinity, and virtual screening is applied where no suitable binder exists.
Where you already have screening data, we analyse it for structure–degradation relationships rather than treating potency and degradation as the same signal.
This is a computational (in silico) service. Designs and predictions prioritise hypotheses and direct experimental effort; they do not by themselves establish that an edit, construct, molecule or assay will perform as intended. Laboratory execution — editing, cloning, expression, synthesis and testing — is planned with you and carried out by your own team or a qualified partner. Deliverables are for research use only and are not intended for diagnostic or therapeutic use.
| Item | Specification | Notes |
|---|---|---|
| Typical turnaround | 3–6 weeks | Depending on whether screening is included |
| Ligases assessed | 2–6 candidates | Shortlisted before detailed modelling |
| Screening scale | Up to 10⁸ compounds | Where warhead discovery is in scope |
| Output | Assessment, models, shortlist | With explicit go/no-go reasoning |
We discuss the objective, the decision it supports and the material and data you already hold.
We check that the target, system and available information can support the approach, and say plainly where they cannot.
Scope, methods, deliverables, timeline and price are confirmed in writing, together with the limitations we expect to report.
The design work runs on documented tools and parameters, with quality checks and alternatives compared where that is informative.
You receive the designs, the supporting analysis and a validation plan, plus support interpreting the results once the experiments run.
The failure modes that produce confident-looking results which do not survive the next experiment. Each one is designed against rather than discovered afterwards.
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.
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.
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.
