Metabolism decides how long a compound survives and whether it can be dosed alongside other drugs. We predict microsomal and hepatocyte stability, identify the sites of metabolism that drive clearance, assess inhibition across the major cytochrome P450 isoforms, and flag structures likely to generate reactive metabolites. The practically useful part is the soft-spot map: it tells the chemistry team exactly which position to block, fluorinate or replace.
Sites of metabolism are predicted at atom level and ranked by likelihood, converting a stability problem into a specific, actionable structural modification.
Inhibition is predicted per isoform across 1A2, 2C9, 2C19, 2D6 and 3A4, since drug–drug interaction risk depends on which enzyme is involved and on the co-medication landscape.
Structural alerts and predicted bioactivation pathways are reported with the mechanism, which matters for idiosyncratic toxicity risk and for regulatory discussion.
Likely metabolite structures are generated, helping analytical teams design the identification study rather than search blind.
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.
| Item | Specification | Notes |
|---|---|---|
| Compounds per run | 1–20,000 | Soft-spot mapping is delivered per compound |
| Typical turnaround | 5–10 working days | Including metabolite proposals and interpretation |
| CYP isoforms | 1A2, 2C9, 2C19, 2D6, 3A4 | Additional isoforms on request where models exist |
| Species | Human, rat, mouse, dog | Species-specific models applied where available |
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.
We check that the data, target class and available structural evidence can support the proposed 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 analysis runs on pinned tool versions in a containerised environment, with quality checkpoints and method comparison where that is informative.
You receive the ranked results, the documented methods, the limitations and a proposed validation plan, plus support in interpreting them.
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.
