Engineering Gp2 as a small ligand scaffold
Engineering Gp2 as a small ligand scaffold
批准号:
9219734
负责人:
Benjamin Hackel
金额:
$31.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2021-03-31
关键词:
AddressAdvanced DevelopmentAffinityAmino AcidsAntibodiesAntibody Binding SitesAreaBindingBiodistributionBioinformaticsBiologicalBiological MarkersBiologyBiophysicsChargeChemicalsClinicalConsensusDevelopmentEngineeringEquilibriumEvaluationEvolutionExtravasationFeedbackFrequenciesGP2 geneGenerationsHumanImageImmunoglobulin FragmentsLeadLibrariesLigand BindingLigandsModelingMolecularMolecular TargetMusOutcomePDCD1LG1 genePenetrationPerformancePhylogenetic AnalysisPhysiologicalPositron-Emission TomographyProductionProteinsResearchSensitivity and SpecificitySiteSolubilitySolventsSurfaceTestingTimeTissuesVariantX-Ray Computed Tomographycombinatorialcomparativecross reactivitydeep sequencingdesignfitnesshydrophilicityimaging agentimmune checkpointimprovedin vivoinnovationmolecular diagnosticsmolecular imagingmolecular recognitionmutantpreclinical developmentscaffoldscreeningtargeted agenttargeted treatmenttumor
中文摘要
分子识别配体在分子诊断、靶向治疗和生物学研究中起着重要作用。
稳健、有效地发现稳定、选择性的亲和配体对许多重要的目标,
加快这些领域的发展。尽管有许多支架-从抗体到替代药物,
拓扑结构-已经被开发来满足这些需求,但都有局限性。重要的是,
在保持生物物理完整性的同时,将结合功能发展到超小支架上,将是一种
强大的进步。小尺寸有助于外渗、组织渗透和未结合背景的清除
配体用于改善生理性能,特别是用于分子成像。此外,小单
结构域促进生产、位点特异性缀合和设计的多功能融合。为此我们
我们通过生物信息学方法发现了45个氨基酸的Gp 2结构域,并且我们已经验证了其
作为配体的功效,能够强的特异性结合,同时保持稳定性。在此,我们建议
这个支架的发展。
本研究的目的是设计45-氨基酸的框架和多样的互补位,
Gp 2结构域,以提高其作为分子靶向支架的效用,并通过开发
PD-L1的正电子发射断层扫描成像剂。研究计划包括三个目标。(一)
先进的组合库设计-通过高通量配体识别位点多样性梯度
进化和深度测序反馈-能够直接选择Gp 2中的强特异性结合剂
脚手架数千种不同的Gp 2配体将从一个幼稚的组合库中进化出来。深
测序将揭示位点氨基酸频率,其将指导第二代文库设计。
这些设计将进行比较评估的进化适应性。进化的Gp 2配体将在功能上
并进行生物药理学表征。(2)工程化Gp 2框架以增强蛋白水解和热稳定性,
溶解性和生理被动性。两个创新的稳定性工程战略将比较更多
传统的方法来告知进化和识别改进的Gp 2框架。调制
亲水性和电荷将进一步改善Gp 2框架。(3)进行临床前开发
PD-L1的分子PET成像剂,能够进行特异性、灵敏的早期时间点(~1 h)成像。的
Gp 2的高级互补位进化和框架将被应用于开发选择性地
体内靶向PD-L1。这些将与用于异种移植中PET成像的抗体和片段进行比较。
小鼠肿瘤模型。
英文摘要
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.
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专著(0)
科研奖励(0)
会议论文
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