9mi7

Publication Abstract from PubMed

The correct pairing of cognate heavy and light chains is critical to the efficient manufacturing of IgG-like bispecific antibodies (bsAbs) from a single host cell. We present a general solution for the elimination of heavy chain (HC):light chain (LC) mispairs in bsAbs with kappa LCs via the use of two orthogonal constant domain (C(H)1:Ckappa) interfaces comprising computationally designed amino acid substitutions. Substitutions were designed by Rosetta to introduce novel hydrogen bond (H-bond) networks at the C(H)1:Ckappa interface, followed by Rosetta energy calculations to identify designs with enhanced pairing specificity and interface stability. Our final design, featuring a total of 11 amino acid substitutions across two Fab constant regions, was tested on a set of six IgG-like bsAbs featuring a diverse set of unmodified human antibody variable domains. Purity assessments showed near-complete elimination of LC mispairs, including in cases with high baseline mispairing with wild-type constant domains. The engineered bsAbs broadly recapitulated the antigen-binding and biophysical developability properties of their monospecific counterparts and no adverse immunogenicity signal was identified by an in vitro assay. Fab crystal structures containing engineered constant domain interfaces revealed no major perturbations relative to the wild-type coordinates and validated the presence of the designed hydrogen bond interactions. Our work enables the facile assembly of independently discovered IgG-like bispecific antibodies in a single-cell host and demonstrates a streamlined and generalizable computational and experimental workflow for redesigning conserved protein:protein interfaces.

Design of orthogonal constant domain interfaces to aid proper heavy/light chain pairing of bispecific antibodies.,Barlow KA, Battles MB, Brown ME, Canfield K, Lu X, Lynaugh H, Morrill M, Rappazzo CG, Reyes SP, Sandberg C, Sharkey B, Strong C, Zhao J, Sivasubramanian A MAbs. 2025 Dec;17(1):2479531. doi: 10.1080/19420862.2025.2479531. Epub 2025 Mar , 24. PMID:40126074^[1]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.