Biophysical properties of the clinical-stage antibody landscape.

Antibodies are a highly successful class of biological drugs, with over 50 such molecules approved for therapeutic use and hundreds more currently in clinical development. Improvements in technology for the discovery and optimization of high-potency antibodies have greatly increased the chances for finding binding molecules with desired biological properties; however, achieving drug-like properties at the same time is an additional requirement that is receiving increased attention. In this work, we attempt to quantify the historical limits of acceptability for multiple biophysical metrics of "developability." Amino acid sequences from 137 antibodies in advanced clinical stages, including 48 approved for therapeutic use, were collected and used to construct isotype-matched IgG1 antibodies, which were then expressed in mammalian cells. The resulting material for each source antibody was evaluated in a dozen biophysical property assays. The distributions of the observed metrics are used to empirically define boundaries of drug-like behavior that can represent practical guidelines for future antibody drug candidates.

Profiling the Biophysical Developability Properties of Common IgG1 Fc Effector Silencing Variants.

Therapeutic antibodies represent the most significant modality in biologics, with around 150 approved drugs on the market. In addition to specific target binding mediated by the variable fragments (Fvs) of the heavy and light chains, antibodies possess effector functions through binding of the constant region (Fc) to Fcγ receptors (FcγR), which allow immune cells to attack and kill target cells using a variety of mechanisms. However, for some applications, including T-cell-engaging bispecifics, this effector function is typically undesired. Mutations within the lower hinge and the second constant domain (CH2) of IgG1 that comprise the FcγR binding interface reduce or eliminate effector function ("Fc silencing") while retaining binding to the neonatal Fc receptor (FcRn), important for normal antibody pharmacokinetics (PKs). Comprehensive profiling of biophysical developability properties would benefit the choice of constant region variants for development. Here, we produce a large panel of representative mutations previously described in the literature and in many cases in clinical or approved molecules, generate select combinations thereof, and characterize their binding and biophysical properties. We find that some commonly used CH2 mutations, including D265A and P331S, are effective in reducing binding to FcγR but significantly reduce stability, promoting aggregation, particularly under acidic conditions commonly employed in manufacturing. We highlight mutation sets that are particularly effective for eliminating Fc effector function with the retention of WT-like stability, including L234A, L235A, and S267K (LALA-S267K), L234A, L235E, and S267K (LALE-S267K), L234A, L235A, and P329A (LALA-P329A), and L234A, L235E, and P329G (LALE-P329G).

Structure-based engineering of a novel CD3ε-targeting antibody for reduced polyreactivity.

Bispecific antibodies continue to represent a growth area for antibody therapeutics, with roughly a third of molecules in clinical development being T-cell engagers that use an anti-CD3 binding arm. CD3 antibodies possessing cross-reactivity with cynomolgus monkey typically recognize a highly electronegative linear epitope at the extreme N-terminus of CD3 epsilon (CD3ε). Such antibodies have high isoelectric points and display problematic polyreactivity (correlated with poor pharmacokinetics for monospecific antibodies). Using insights from the crystal structure of anti-Hu/Cy CD3 antibody ADI-26906 in complex with CD3ε and antibody engineering using a yeast-based platform, we have derived high-affinity CD3 antibody variants with very low polyreactivity and significantly improved biophysical developability. Comparison of these variants with CD3 antibodies in the clinic (as part of bi- or multi-specifics) shows that affinity for CD3 is correlated with polyreactivity. Our engineered CD3 antibodies break this correlation, forming a broad affinity range with no to low polyreactivity. Such antibodies will enable bispecifics with improved pharmacokinetic and safety profiles and suggest engineering solutions that will benefit the large and growing sector of T-cell engagers.

Antibody-mediated protection against symptomatic COVID-19 can be achieved at low serum neutralizing titers.

Multiple studies of vaccinated and convalescent cohorts have demonstrated that serum neutralizing antibody (nAb) titers correlate with protection against coronavirus disease 2019 (COVID-19). However, the induction of multiple layers of immunity after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure has complicated the establishment of nAbs as a mechanistic correlate of protection (CoP) and hindered the definition of a protective nAb threshold. Here, we show that a half-life-extended monoclonal antibody (adintrevimab) provides about 50% protection against symptomatic COVID-19 in SARS-CoV-2-naïve adults at serum nAb titers on the order of 1:30. Vaccine modeling results support a similar 50% protective nAb threshold, suggesting that low titers of serum nAbs protect in both passive antibody prophylaxis and vaccination settings. Extrapolation of adintrevimab pharmacokinetic data suggests that protection against susceptible variants could be maintained for about 3 years. The results provide a benchmark for the selection of next-generation vaccine candidates and support the use of broad, long-acting monoclonal antibodies as alternatives or supplements to vaccination in high-risk populations.

Probing the interface between biomolecules and inorganic materials using yeast surface display and genetic engineering.

Although promising for biomimetic materials applications, polypeptides binding inorganic material surfaces and the mechanism of their function have been difficult to characterize. This paper reports sequence-activity relationships of peptides interfacing with semiconductor CdS, and presents methodologies broadly applicable to studying peptide-solid surface interactions. We first employed yeast surface display with a human repertoire antibody library and identified rarely-occurring scFv fragments as CdS-binding polypeptides. Using our semi-quantitative cell-surface binding assay, site-directed mutational analysis, and genetic engineering we defined short distal regions of the displayed polypeptides necessary and sufficient for CdS binding. Alanine scanning mutagenesis in combination with a series of engineered polyhistidine peptides elucidated a direct relationship between histidine number and binding strength, which appeared to be further modulated by arginine and basic residues. The minimum strength of interaction was established by competition studies using soluble synthetic peptide analogs, which showed half-maximal inhibition of yeast binding to CdS at approximately 2 microM peptide. We then showed the ability of cells displaying material-specific polypeptides to form self-healing biofilms and discriminate between materials of fabricated heterostructure surfaces. Furthermore, we demonstrated the synthetic potential of the selected soluble CdS peptide in mediating aqueous synthesis of fluorescent CdS nanoparticles at room temperature. This platform may be further applied to elucidate mechanisms governing interfacial interactions and to generate material-specific reagents useful in medicine, biosensors, and bioproduction of high value inorganic materials.

Peptide-mediated reduction of silver ions on engineered biological scaffolds.

Herein we report the spontaneous reduction of silver ions into nanostructures by yeast surface-displayed glutamic acid (E(6)) and aspartic acid (D(6)) peptides. Light spectroscopy and electron microscopy reveal that silver ions are photoreduced in the presence of the polycarboxylic acid-containing peptides and ambient light, with an increase in reduction capability of E(6) expressing yeast over D(6) yeast. The importance of tethering peptides to a biological scaffold was inferred by observing the reduced particle forming capacity of soluble peptides with respect to corresponding yeast-displayed peptides. This principle was further extended to the M13 virus for fabrication of crystalline silver nanowires. These insights into the spontaneous reduction of metal ions on biological scaffolds should help further the formation of novel nanomaterials in biological systems.

Peptide tags for enhanced cellular and protein adhesion to single-crystalline sapphire.

In order to facilitate a novel means for coupling proteins to metal oxides, peptides were identified from a dodecamer peptide yeast surface display library that bound a model metal oxide material, the C, A, and R crystalline faces of synthetic sapphire (alpha-Al(2)O(3)). Seven rounds of screening yielded peptides enriched in basic amino acids compared to the naive library. While the C-face had a high background of endogenous yeast cell binding, the A- and R faces displayed clear peptide-mediated cell adhesion. Cell detachment assays showed that cell adhesion strength correlated positively with increasing basicity of expressed peptides. Cell adhesion was also shown to be sensitive to buffer ionic strength as well as incubation with soluble peptide (with half maximal inhibition of cell binding at approximately 5 microM peptide). Next, dodecamer peptides cloned into yeast showed that lysine led to stronger interactions than arginine, and that charge distribution affected adhesion strength. We postulate binding to arise from peptide geometries that permit conformation alignment of the basic amino acids towards the surface so that the charged groups can undergo local electrostatic interactions with the surface oxide. Lastly, peptide K1 (-(GK)(6)) was cloned onto the c-terminus of maltose binding protein (MBP) and the resultant mutant protein showed a half-maximal binding at approximately 10(-7)-10(-6) M, which marked a approximately 500- to 1,000-fold binding improvement to sapphire's A-face as compared with wild-type MBP. Targeting proteins to metal oxide surfaces with peptide tags may provide a facile one-step alternative coupling chemistry for the formation of protein bioassays and biosensors.

Design criteria for engineering inorganic material-specific peptides.

Development of a fundamental understanding of how peptides specifically interact with inorganic material surfaces is crucial to furthering many applications in the field of nanobiotechnology. Herein, we report systematic study of peptide sequence-activity relationships for binding to II-VI semiconductors (CdS, CdSe, ZnS, ZnSe) and Au using a yeast surface display system, and we define criteria for tuning peptide affinity and specificity for these material surfaces. First, homohexapeptides of the 20 naturally occurring amino acids were engineered, expressed on yeast surface, and assayed for the ability to bind each material surface in order to define functional groups sufficient for binding. Histidine (H6) was able to mediate binding of yeast to the five materials studied, while tryptophan (W6), cysteine (C6), and methionine (M6) exhibited different levels of binding to single-crystalline ZnS and ZnSe and polycrystalline Au surfaces. The ability of neighboring amino acids to up- and down-modulate histidine binding was then evaluated by use of interdigitated peptides (XHXHXHX). While the 20 amino acids exhibited a unique fingerprint of modulation for each material, some general trends emerged. With neutral defined by alanine, up-modulation occurred with glycine, basic amino acids, and the previously defined binding amino acids histidine, tryptophan, cysteine, and methionine, and down-modulation generally occurred with acidic, polar, and hydrophobic residues. We conclude that certain amino acids directly bind the material surface while neighboring amino acids locally modulate the binding environment for the materials we studied. Therefore, by the specific placement of up- and down-modulating amino acids, material specificity can be controlled. Finally, by employing the compositional and spatial criteria developed herein, it was possible to predictively design peptide sequences with material specificity, including a multimaterial binder, a Au-specific binder, and a ZnS-specific binder, that were verified as such in the context of yeast display.