Engineering Gp2 as a small ligand scaffold

分子识别配体对分子诊断、靶向治疗和生物学研究至关重要。

Molecular recognition ligands are critical for molecular diagnostics, targeted therapy, and biological study. Robust, efficient discovery of stable, selective affinity ligands towards the multitude of important targets would accelerate advances in these fields. Though numerous scaffolds – ranging from antibodies to alternative topologies – have been developed to fill these needs, all have limitations. Importantly, the ability to efficiently evolve binding functionality onto an ultra-small scaffold, while retaining biophysical integrity, would be a powerful advance. Small size aids extravasation, tissue penetration, and clearance of unbound background ligand for improved physiological performance, particularly for molecular imaging. Moreover, small single domains facilitate production, site-specific conjugation, and designer multi-functional fusions. To this end, we have discovered the 45-amino acid Gp2 domain via a bioinformatics approach, and we have validated its efficacy as a ligand capable of strong, specific binding while retaining stability. Herein, we propose to advance development of this scaffold. The objective of this research is to engineer the framework and diverse paratope of the 45-amino acid Gp2 domain to advance its utility as a molecular targeting scaffold and exemplify utility by development of positron emission tomography imaging agents for PD-L1. The research plan consists of three aims. (1) Advance combinatorial library design – with a sitewise gradient of diversity identified via high-throughput ligand evolution and deep sequencing feedback – to enable direct selection of strong, specific binders in the Gp2 scaffold. Thousands of diverse Gp2 ligands will be evolved from a naïve combinatorial library. Deep sequencing will reveal sitewise amino acid frequencies that will guide second-generation library designs. These designs will be comparatively evaluated for evolutionary fitness. Evolved Gp2 ligands will be functionally and biophysically characterized. (2) Engineer the Gp2 framework to enhance proteolytic and thermal stability, solubility, and physiological passivity. Two innovative stability-engineering strategies will be compared to more conventional approaches to inform evolution and identify an improved Gp2 framework. Modulation of hydrophilicity and charge will further improve the Gp2 framework. (3) Perform preclinical development of molecular PET imaging agents for PD-L1 capable of specific, sensitive early time point (~1 h) imaging. The advanced paratope evolution and framework of Gp2 will be applied to develop 5 kDa domains that selectively target PD-L1 in vivo. These will be compared to antibodies and fragments for PET imaging in xenografted mouse tumor models.