ADC & Bioconjugate Design

Peptide-Drug Conjugate (PDC) Design

Computational design of peptide carriers for targeted drug delivery. Tumor-homing peptide selection, cleavage site engineering, payload coupling chemistry optimization.

Ref L4Computational ServiceConfidence ReportedScoped After Feasibility Review
HomeServicesADC & Bioconjugate DesignPeptide-Drug Conjugate (PDC) Design

Overview

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.

Conjugation site · linker · payloadCDR loopsFc regionpayloadcleavable linkerdevelopabilityliabilities mapped
Schematic: conjugation site, linker chemistry and payload are modelled as one system, because the therapeutic index comes from how they interact.

Key Advantages

01

Conjugation Position Modelled Against Binding

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.

02

Linker Release Matched To Target Biology

Protease-cleavable, pH-sensitive, reducible and non-cleavable strategies are assessed against whether the construct internalises or acts at the cell surface.

03

Half-Life Addressed In Design

Peptides clear quickly; stabilisation, cyclisation and albumin-binding or lipidation strategies are evaluated as part of the conjugate design rather than bolted on later.

04

Whole-Construct Properties Predicted

Solubility, aggregation and hydrophobicity are predicted for the assembled conjugate, not only for the peptide and payload separately.

Where This Service Is Used

Designing tumour-homing peptide conjugates for targeted cytotoxic delivery
Building receptor-targeted conjugates for imaging or radiotherapeutic payloads
Converting a validated targeting peptide into a conjugate format
Improving the stability or exposure of an existing peptide conjugate
Designing cleavable linkers tuned to a tumour-associated protease

Methods and Techniques Applied

Targeting peptide selection or design against the receptor, with complex modelling
Conjugation position scanning with assessment of the effect on receptor binding
Linker design covering release chemistry, length, rigidity and predicted stability in circulation
Protease cleavage modelling where enzymatic release is the intended mechanism
Whole-conjugate property prediction: solubility, aggregation, charge and hydrophobicity
Half-life extension assessment including cyclisation, stabilising modifications and albumin binding

What We Need From You

Targeting peptide sequence, or the receptor if peptide design is also in scope
Receptor structure or sequence, with internalisation behaviour if known
Payload identity, potency and its chemical attachment requirements
Intended application: therapeutic, imaging or radioligand, each with different constraints

What You Receive

Ranked conjugate designs with peptide, linker and attachment chemistry fully specified
Structural models of the peptide–receptor complex with the conjugation site shown
Linker stability and release assessment against the intended mechanism
Predicted properties for the assembled conjugate
Synthesis notes and a prioritised testing plan

What We Compute and Report

Peptide–receptor complex models with the conjugation site shown in structural context
Predicted effect of each attachment position on receptor binding
Linker stability and release behaviour assessment against the intended mechanism
Whole-conjugate property profile: solubility, charge, hydrophobicity, aggregation risk
Predicted protease cleavage behaviour where enzymatic release is intended

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

ItemSpecificationNotes
Designs delivered10–40 conjugatesAcross attachment points and linker chemistries
Typical turnaround4–7 weeksIncluding complex modelling
Payload typesCytotoxic, imaging, radioligandChemistry-dependent, assessed per project
OutputDesigns, models, reportSpecified precisely enough to order synthesis

Service Workflow

Step 01

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.

Step 02

Feasibility Review

We check that the data, target class and available structural evidence can support the proposed approach, and say plainly where they cannot.

Step 03

Technical Proposal

Scope, methods, deliverables, timeline and price are confirmed in writing, together with the limitations we expect to report.

Step 04

Computation and QC

The analysis runs on pinned tool versions in a containerised environment, with quality checkpoints and method comparison where that is informative.

Step 05

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

Tissue penetration matters more than long circulating half-life
A validated targeting peptide needs converting into a conjugate
Imaging or radioligand applications need a small, fast-clearing carrier

Consider another service when

Long exposure and avidity are required
ADC Linker-Payload Design
The targeting peptide itself does not exist yet
Linear Therapeutic Peptide Design

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.

Positions are scanned against the peptide–receptor complex model, and predicted binding cost is reported per attachment point.

Case Studies

The situation
The first conjugate lost roughly fiftyfold receptor affinity relative to the free peptide.
What the work involved
The peptide–receptor complex was modelled, every chemically feasible attachment position was scored for predicted binding interference, and linker length was sampled for the viable ones.
What came back
The original attachment sat two residues from a key contact. Three alternative positions were predicted to be tolerated, and the assembled conjugate properties were reported for each.

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 Peptide-Drug Conjugate (PDC) Design

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.

Feasibility reviewed before any scope or price is fixed
Methods, parameters, confidence and limitations in every report
Confidentiality agreement available before data is shared

Submitting opens your email client with the enquiry addressed to service@icdmo.com.