Development of a robust and semi-automated two-step antibody purification process.

Advances in antibody discovery technologies, especially with the availability of humanized mice and phage/yeast library approaches, enable the generation of a large diversity of antibodies against nearly any target of interest. As a result, there is an increasing demand for the production of larger numbers of purified antibodies at quantities (10s-100s of milligrams) sufficient for functional screening assays, drug-ability/develop-ability studies and immunogenicity assessments. To accommodate this need, new methods are required that bridge miniature high throughput/plate-based purification and conventional, one at a time, two-step purification at much larger scales.

A Tail Fiber Engineering Platform for Improved Bacterial Transduction-Based Diagnostic Reagents.

Bacterial transduction particles were critical to early advances in molecular biology and are currently experiencing a resurgence in interest within the diagnostic and therapeutic fields. The difficulty of developing a robust and specific transduction reagent capable of delivering a genetic payload to the diversity of strains constituting a given bacterial species or genus is a major impediment to their expanded utility as commercial products. While recent advances in engineering the reactivity of these reagents have made them more attractive for product development, considerable improvements are still needed.

Generation of orthogonal Fab-based trispecific antibody formats.

The clinical success of monoclonal antibodies to treat diseases across nearly every therapeutic area has spurred advances in bispecific antibody technology with the goal of cost-effectively combining various therapies or providing novel mechanisms for disease intervention. Many novel bispecific antibodies are now in clinical development or the late pre-clinical setting. A new horizon exists for novel molecular entities with the ability to bind three or more antigens.

Computationally Designed Bispecific Antibodies using Negative State Repertoires.

A challenge in the structure-based design of specificity is modeling the negative states, i.e., the complexes that you do not want to form.