Peptide–drug conjugates trade the long circulation and high avidity of antibodies for smaller size, better tissue penetration and simpler chemistry. The design problems follow from that trade: the targeting peptide must retain affinity after conjugation, the linker must survive circulation and release payload where intended, and the whole construct must persist long enough to reach the target despite rapid renal clearance. We model each of these and deliver ranked conjugate designs with the reasoning attached.
Attachment points are selected using the peptide–receptor complex model, so the payload is placed away from the binding face rather than at whichever residue is chemically convenient.
Protease-cleavable, pH-sensitive, reducible and non-cleavable strategies are assessed against whether the construct internalises or acts at the cell surface.
Peptides clear quickly; stabilisation, cyclisation and albumin-binding or lipidation strategies are evaluated as part of the conjugate design rather than bolted on later.
Solubility, aggregation and hydrophobicity are predicted for the assembled conjugate, not only for the peptide and payload separately.
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 |
|---|---|---|
| Designs delivered | 10–40 conjugates | Across attachment points and linker chemistries |
| Typical turnaround | 4–7 weeks | Including complex modelling |
| Payload types | Cytotoxic, imaging, radioligand | Chemistry-dependent, assessed per project |
| Output | Designs, models, report | Specified precisely enough to order synthesis |
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.
