Wayne Coco

Salt-Induced Aggregation of a Monoclonal Human Immunoglobulin G1

Physical stability is critical for any therapeutic proteins efficacy and economic viability. No reliable theory exists to predict stability de novo, and modeling aggregation is challenging as this phenomenon can involve orientation effects, unfolding, and the rearrangement of noncovalent bonds inter- and intramolecularly in a complex sequence of poorly understood events. Despite this complexity, the simple observation of protein concentration-dependent diffusivity in stable, low ionic-strength solutions can provide valuable information about a proteins propensity to aggregate at higher salt concentrations and over longer times. We recently verified this notion using two model proteins, and others have shown that this strategy may be applicable to antibodies as well. Here, we expand our previous study to a monoclonal human immunoglobulin G1 antibody and discuss both merits and limitations of stability assessments based on the diffusional virial coefficient k(D). We find this parameter to be a good predictor of relative protein stability in solutions of different chaotropic salts, and a telling heuristic for the effect of kosmotropes. Both temperature and glycosylation are seen to have a strong influence on k(D), and we examine how these factors affect stability assessments. Protein unfolding is monitored with a fluorescence assay to assist in interpreting the observed aggregation rates.

Femtomolar Fab binding affinities to a protein target by alternative CDR residue co-optimization strategies without phage or cell surface display.

In therapeutic or diagnostic antibody discovery, affinity maturation is frequently required to optimize binding properties. In some cases, achieving very high affinity is challenging using the display-based optimization technologies. Here we present an approach that begins with the creation and clonal, quantitative analysis of soluble Fab libraries with complete diversification in adjacent residue pairs encompassing every complementarity-determining region position. This was followed by alternative recombination approaches and high throughput screening to co-optimize large sets of the found improving mutations. We applied this approach to the affinity maturation of the anti-tumor necrosis factor antibody adalimumab and achieved ~500-fold affinity improvement, resulting in femtomolar binding. To our knowledge, this is the first report of the in vitro engineering of a femtomolar affinity antibody against a protein target without display screening. We compare our findings to a previous report that employed extensive mutagenesis and recombination libraries with yeast display screening. The present approach is widely applicable to the most challenging of affinity maturation efforts.