bioRxivBioengineeringPreprint
Computational Stabilization of the Human VH Germline Repertoire to Enable Conditional Multi-Specific Therapeutic Development
David F. ThiekeriD, Jayd HannaiD, Pricilla White, Glenn C. CapodagliiD, Christen Buetz-DuncaniD, Christina D Carnevale, Arlene Sereno, Falene Chai, Abby Lin, Craig R. PigottiD, Rajesh SharmaiD, Natasha Del CidiD, Nathan I. NicelyiD, Brian A. KuhlmaniD, Stephen J. DemarestiD
Abstract
Protein-based biologic therapies, particularly antibody-like therapeutics, have emerged as a major modality to treat nearly all chronic and infectious diseases. Antagonists have dominated the first wave of antibody and antibody-like biologics, whereas agonism has generally been challenging due to systemic activation leading to issues with therapeutic index and problems with pleiotropic activity. Additionally, agonists that use native proteins such as cytokines can be challenging to produce at scale given these proteins evolved to act locally and are not designed for large scale manufacturing. To address these challenges, we generated a biologics platform comprised of stabilized human VH domains (VH-Select) which encompass the entire human germline repertoire with the goal of building multispecific biologics denoted Tentacles that use avidity-based binding to achieve conditional activity directed to specific cell types or tissues. Stabilizing disulfides and point mutations were identified computationally with Rosetta, evaluated in vitro, and combined into designs with 3-5 amino acid substitutions for each of the seven germline families (VH1-VH7). Computational design was also employed to reduce dimerization from both VL and homotypic VH-VH interactions. Optimization of specific sequences improved expression by greater than 600-fold and thermostability by more than 20{degrees}C. Each of the germline variants were screened for low HLA class II binding and incorporated into a library which demonstrated significant improvements in cellular protein production, thereby increasing sequence diversity for screening campaigns. These VH-Select scaffolds are useful for the discovery of novel binders used to build multispecific Tentacles designed for cis-interactions that achieve cell- and tissue-specific activation. As an example of the utility of the platform, we generated a set of Tentacles that use VH-Select binders to conditionally agonize IL2R{gamma}{beta} and 41BB on PD1+, LAG3+, or CD8+ T cells. These Tentacles demonstrate promising manufacturability, antibody-like exposure in vivo, and strong anti-tumor activity in a humanized tumor model. Overall, we believe the incorporation of VH-Select binders into multispecific Tentacles has the potential to create a host of conditionally active biologics to treat various chronic and acute diseases.
- organism: human
- assay: protein structure
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
- Citations
- 0
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