A robust heterodimeric Fc platform engineered for efficient development of bispecific antibodies of multiple formats.

Bispecific monoclonal antibodies can bind two protein targets simultaneously and enable therapeutic modalities inaccessible by traditional mAbs. Bispecific formats containing a heterodimeric Fc region are of particular interest, as a heterodimeric Fc empowers both bispecificity and altered valencies while retaining the developability and druggability of a monoclonal antibody. We present a robust heterodimeric Fc platform, called the XmAb® bispecific platform, engineered for efficient development of bispecific antibodies and Fc fusions of multiple formats. First, we engineer a purification solution for proteins containing a heterodimeric Fc using engineered isoelectric point differences in the Fc region that enable straightforward purification of the heterodimeric species. Then, we combine this purification solution with a novel set of Fc substitutions capable of achieving heterodimer yields over 95% with little change in thermostability. Next, we illustrate the flexibility of our heterodimeric Fc with a case study in which a wide range of tumor-associated antigen × CD3 bispecifics are generated, differing in choice of tumor antigen, affinities for both tumor antigen and CD3, and tumor antigen valency. Finally, we present manufacturing data reinforcing the robustness of the heterodimeric Fc platform at scale.

A novel bispecific antibody format enables simultaneous bivalent and monovalent co-engagement of distinct target antigens.

Bispecific antibodies based on full-length antibody structures are more optimal than fragment-based formats because they benefit from the favorable properties of the Fc region. However, the homodimeric nature of Fc effectively imposes bivalent binding on all current full-length bispecific antibodies, an attribute that can result in nonspecific activation of cross-linked receptors. We engineered a novel bispecific format, referred to as mAb-Fv, that utilizes a heterodimeric Fc region to enable monovalent co-engagement of a second target antigen in a full-length context. mAb-Fv constructs co-targeting CD16 and CD3 were expressed and purified as heterodimeric species, bound selectively to their co-target antigens, and mediated potent cytotoxic activity by NK cells and T cells, respectively. The capacity to co-engage distinct target antigens simultaneously with different valencies is an improved feature for bispecific antibodies with promising therapeutic implications.

Engineering fully human monoclonal antibodies from murine variable regions.

Fully human monoclonal antibodies (mAbs) derived from transgenic mice or human antibody libraries are the current state of the art for reducing the immunogenicity risk of antibody drugs. Here, we describe a novel method for generating fully human mAbs from nonhuman variable regions using information from the human germline repertoire. Central to our strategy is the rational engineering of residues within and proximal to CDRs and the V(H)/V(L) interface by iteratively exploring substitutions to the closest human germline sequences using semi-automated computational methods. Starting from the parent murine variable regions of three currently marketed mAbs targeting CD25, vascular endothelial growth factor, and tumor necrosis factor alpha, we have generated fully human antibodies with 59, 46, and 45 substitutions, respectively, compared to the parent murine sequences. A large number of these substitutions were in the CDRs, which are typically avoided in humanization methods. Antigen affinities of the fully human variants were comparable to the chimeric mAbs in each case. Furthermore, in vitro functional characterization indicated that all retain potency of the chimeric mAbs and have comparable activity to their respective marketed drugs daclizumab, bevacizumab, and infliximab. Based on local and global sequence identity, the sequences of our engineered mAbs are indistinguishable from those of fully human mAbs isolated from transgenic mice or human antibody libraries. This work establishes a simple rational engineering methodology for generating fully human antibody therapeutics from murine mAbs produced from standard hybridoma technology.

A molecular immunology approach to antibody humanization and functional optimization.

We introduce a new method of humanization based on a novel and immunologically relevant metric of antibody humanness, termed human string content (HSC), that quantifies a sequence at the level of potential MHC/T-cell epitopes. Use of this quantity rather than global identity as an optimization goal enables the sampling of human diversity from distinct human germline sequences across the framework and CDR regions, and allows for the generation of multiple diverse candidate sequences. As a result engineering is carried out at finer sequence resolution relative to standard CDR grafting methods, providing for the optimization of antibody properties beyond immunogenicity such as antigen affinity and solution behavior. We have applied this method to the humanization of four antibodies with different antigen specificities. The resulting variable domains differ fundamentally from CDR-grafted antibodies in that they are immunologically more human and their humanness is derived from several discrete germline sequences. Furthermore, these antibodies bind their respective antigens better than or comparable to those of the parent antibodies without the need for affinity maturation.

Clinical link between MHC class II haplotype and interferon-beta (IFN-beta) immunogenicity.

Interferon-beta (IFN-beta) is currently the first-line therapy for the treatment of multiple sclerosis (MS). However, a significant percentage of MS patients develop anti-IFN-beta antibodies, which can reduce the efficacy of the drug. We describe an association between a common MHC class II allele (DRB1*0701), present in 23% of the patients studied, and the anti-IFN-beta antibody response. We identified IFN-beta epitopes using a peptide-binding assay with B cell lines expressing this allele. Moreover, epitope-specific activation responses obtained with peripheral blood mononuclear cells (PBMCs) from IFN-beta treated patients with the DRB1*0701 allele indicated a role for T-cell activation in IFN-beta immunogenicity. These results suggest that HLA typing of MS patients may provide an accurate screen for subjects who are likely to develop anti-IFN-beta antibodies and should therefore be considered for alternative therapies. In addition, elucidation of the factors underlying the anti-IFN-beta antibody response should accelerate the engineering of less immunogenic IFN-beta therapeutics.

Combining computational and experimental screening for rapid optimization of protein properties.

We present a combined computational and experimental method for the rapid optimization of proteins. Using beta-lactamase as a test case, we redesigned the active site region using our Protein Design Automation technology as a computational screen to search the entire sequence space. By eliminating sequences incompatible with the protein fold, Protein Design Automation rapidly reduced the number of sequences to a size amenable to experimental screening, resulting in a library of approximately equal 200,000 mutants. These were then constructed and experimentally screened to select for variants with improved resistance to the antibiotic cefotaxime. In a single round, we obtained variants exhibiting a 1,280-fold increase in resistance. To our knowledge, all of the mutations were novel, i.e., they have not been identified as beneficial by random mutagenesis or DNA shuffling or seen in any of the naturally occurring TEM beta-lactamases, the most prevalent type of Gram-negative beta-lactamases. This combined approach allows for the rapid improvement of any property that can be screened experimentally and provides a powerful broadly applicable tool for protein engineering.

Development of a cytokine analog with enhanced stability using computational ultrahigh throughput screening.

Granulocyte-colony stimulating factor (G-CSF) is used worldwide to prevent neutropenia caused by high-dose chemotherapy. It has limited stability, strict formulation and storage requirements, and because of poor oral absorption must be administered by injection (typically daily). Thus, there is significant interest in developing analogs with improved pharmacological properties. We used our ultrahigh throughput computational screening method to improve the physicochemical characteristics of G-CSF. Improving these properties can make a molecule more robust, enhance its shelf life, or make it more amenable to alternate delivery systems and formulations. It can also affect clinically important features such as pharmacokinetics. Residues in the buried core were selected for optimization to minimize changes to the surface, thereby maintaining the active site and limiting the designed protein's potential for antigenicity. Using a structure that was homology modeled from bovine G-CSF, core designs of 25-34 residues were completed, corresponding to 10(21)-10(28) sequences screened. The optimal sequence from each design was selected for biophysical characterization and experimental testing; each had 10-14 mutations. The designed proteins showed enhanced thermal stabilities of up to 13 degrees C, displayed five-to 10-fold improvements in shelf life, and were biologically active in cell proliferation assays and in a neutropenic mouse model. Pharmacokinetic studies in monkeys showed that subcutaneous injection of the designed analogs results in greater systemic exposure, probably attributable to improved absorption from the subcutaneous compartment. These results show that our computational method can be used to develop improved pharmaceuticals and illustrate its utility as a powerful protein design tool.