Antibody Design & Engineering (AI)

Bispecific & Multispecific Antibody Design

Computational design of BsAbs and multispecific formats (CrossMab, DuoBody, scFv fusions, DVD-Ig). Ternary complex modeling, linker optimization, chain mispairing risk assessment.

Ref I3Computational ServiceConfidence ReportedScoped After Feasibility Review
HomeServicesAntibody Design & Engineering (AI)Bispecific & Multispecific Antibody Design

Overview

Bispecific design is a geometry and assembly problem as much as a binding problem. Two paratopes must engage two epitopes simultaneously with a spatial arrangement that supports the intended mechanism, the chains must pair correctly during expression, and the resulting molecule must remain stable and manufacturable. We model the format options, predict chain mispairing risk, optimise linkers and hinge geometry, and simulate the ternary arrangement where cell-to-cell bridging is the mechanism.

Variable domains, CDR loops and FcCDR loopsFc regiondevelopabilityliabilities mapped
Schematic: modelling covers the variable domains and CDR loops that determine binding, and developability liabilities are mapped across the whole sequence.

Key Advantages

01

Format Selected For Mechanism

CrossMab, knob-into-hole, DuoBody-style, scFv fusion, DVD-Ig and tandem formats are compared against your required geometry, valency and effector profile instead of assumed.

02

Mispairing Risk Quantified

Chain pairing is modelled explicitly and the interface engineering needed to enforce correct assembly is designed, since mispairing is the dominant manufacturing problem for bispecifics.

03

Geometry Modelled For Bridging

Where the mechanism depends on bridging two cells or two receptors, the span, flexibility and reach of the construct are simulated rather than inferred from a cartoon.

04

Developability Assessed Per Format

Aggregation, thermal stability and purification behaviour are assessed for each candidate format, so the chosen design can survive the process it will face.

Where This Service Is Used

Designing T-cell engagers that bridge a tumour antigen and a T-cell receptor complex
Building dual-targeting antibodies for improved selectivity or avidity
Creating biparatopic molecules binding two epitopes on the same antigen
Converting two validated binders into a single bispecific construct
Troubleshooting an existing bispecific that expresses poorly or mispairs

Methods and Techniques Applied

Format evaluation against mechanism, valency, geometry and effector requirements
Structural modelling of each chain, of the assembled construct and of the antigen complexes
Chain pairing analysis and design of interface mutations to enforce correct assembly
Linker and hinge design with conformational sampling to establish reach and flexibility
Ternary arrangement modelling and simulation for bridging mechanisms such as immune cell engagement
Developability and stability assessment across the candidate formats

What We Need From You

Sequences of both binding arms, with any structural or epitope information available
The intended mechanism, including whether simultaneous engagement is required
Valency, geometry, effector function and half-life requirements
Manufacturing constraints: expression system, purification approach, format preferences

What You Receive

Format recommendation with a comparison of the options against your requirements
Complete designed sequences including linkers and interface mutations
Structural models of the assembled construct and of the antigen complexes
Chain pairing risk assessment with the engineering solution applied
Developability assessment and a prioritised construction and testing plan

What We Compute and Report

Assembled construct models with both antigen complexes
Chain pairing energetics quantifying the mispairing risk of each design
Span and reach distributions from linker conformational sampling
Aggregation and thermal stability risk indicators per candidate format
Geometric feasibility assessment for simultaneous engagement of both targets

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
Formats compared3–8 architecturesNarrowed to the leading candidates for detailed modelling
Designs delivered5–25 constructsIncluding linker and interface variants
Typical turnaround4–8 weeksTernary modelling and simulation included
OutputSequences, models, reportWith assembly and geometry analysis

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

Two validated binders must be combined and the architecture is not yet fixed
The mechanism depends on engaging two targets simultaneously
An existing bispecific expresses poorly or mispairs and the cause is unclear

Consider another service when

Only one target is involved
Full-Length IgG Antibody Design
A payload rather than a second binding arm is being added
ADC Linker-Payload 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.

Required geometry, valency and effector profile are fixed first; that alone eliminates most of the hundred published architectures.

Case Studies

The situation
Both arms showed good affinity in isolation while the cell-killing assay was negative.
What the work involved
The assembled construct was modelled with both antigen complexes, and linker conformational sampling was used to compute the accessible span between the two binding sites.
What came back
The geometry could not bridge the two membranes at the epitope positions involved. Redesign moved one arm to a membrane-proximal epitope and lengthened the linker, with three alternatives modelled for testing.

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 Bispecific & Multispecific Antibody 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.