Article

Dual-Specific Antibody Design Using Artificial Intelligence

2026-08-05

Abstract excerpt

Multibodies, or “two-in-one” Immunoglobulin G (IgG) antibodies, are standard symmetrical IgG molecules engineered to competitively bind more than one antigen within a single variable fragment (Fv) binding surface. This format merges the functional advantages of bispecifics, such as multi-target binding and dynamic adaptation to target concentrations, with the superior manufacturing, developability, pharmacokinetic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9bc2c314-586b-550a-b1ea-06fd89179975
DOI: 10.64898/2026.08.03.742397

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Dual-Specific Antibody Design Using Artificial IntelligenceDOI 10.64898/2026.08.03.742397Read

Monoclonal antibodies: From magic bullet to precision weaponSemantic proximity Read

A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodiesSemantic proximity Read

OptMAVEn-2.0: De novo Design of Variable Antibody Regions against Targeted Antigen EpitopesSemantic proximity Read

AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modificationsSemantic proximity Read

Antibody immunogenicity prediction and optimization with ImmunoSeqSemantic proximity Read

Moremi Bio Agent: Application of A Foundation Model and End-to-End Automation in the Design and Validation of Monoclonal Antibodies Targeting <i>Plasmodium falciparum</i> Invasion ComplexSemantic proximity Read

Immunogenicity of Therapeutic Antibodies: Mechanisms, Prediction, and Mitigation Strategies in the Era of Personalized BiologicsSemantic proximity Read

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learningSemantic proximity Read

Structure-guided design of antibody CDRs to reduce their reactivity to treatment-emergent anti-drug antibodies.Semantic proximity Read

Deep learning-based design and experimental validation of a medicine-like human antibody librarySemantic proximity Read

Efficient production of bispecific IgG of different isotypes and species of origin in single mammalian cellsSemantic proximity Read

Fitness Landscape for Antibodies 2: Benchmarking Reveals That Protein AI Models Cannot Yet Consistently Predict Developability PropertiesSemantic proximity Read