Biomolecular Recognition Using Nanoparticle Receptors

描述：（申请人的描述）使用 自优化多价纳米颗粒受体 生物分子系统的特异性识别是生物医学领域的一个基本目标 research.为生物分子创造有效受体的能力使我们能够 制造生物传感器，使实时监测中心的快速 诊断失衡和疾病。生物大分子的识别， 包括蛋白质，多糖和核酸，扩展了我们的能力， 创建诊断设备，同时也为 细胞过程的调节 为小分子受体的产生提供一般途径 和大分子，我们已经创造了基于纳米颗粒支架的宿主。 这些主体很容易从自组装的单层保护的 簇（MPC），或者通过在颗粒形成过程中直接官能化， 形成，或通过随后的位置交换反应提供混合单层 受保护的群集（MMPC）。在初步研究中，我们已经证明了 MMPC有效识别小分子和 大分子值得注意的是，这些受体是动态的，并且可以是 通过非共价相互作用形成模板。在我们的研究中，我们将 探索这些自我优化的纳米粒子为基础的基本方面 受体，包括单层结构，头基， 目标识别交联。同时，我们将应用这些受体 对拥有多个规模的客人的认可，从小到大， 分子客人肽和蛋白质表面。我们亦会探讨 细胞结构的识别，以及将这种识别用于 成像和治疗应用。

DESCRIPTION: (Applicant's Description) Biomolecular Recognition Using Self-Optimizing Mu1tivalentNanoparticle Receptors Specific recognition of biomolecular Systems is a fundamental goal inbiomedical research. The ability to create efficient receptors for biomolecules allows us to fabricate biosensors that allow real-time monitoring central to the rapid diagnosis of imbalances and illnesses. Recognition of biomacromolecules, including proteins, polysaccharides, and nucleic acids, extends our ability to create diagnostic devices, while also providing an important tool for the modulation of cellularprocesses. To provide a general route for the creation of receptors for small molecules and macromolecules, we have created hosts based on nanoparticle scaffolds. These hosts are readily fabricated from self-assembled Monolayer-Protected Clusters (MPCs), either through direct functionalization during particle formation, or via subsequent place exchangereactions provide Mixed Monolayer Protected Clusters (MMPCs). In preliminary studies, we have demonstrated the ability of MMPCs to efficiently recognize both small molecules and macromolecules. Significantly, these receptors are dynamic, and can be templated through non-covalent interactions. In our proposed research, we will explore the fundamental aspects of these self-optimizing nanoparticle-based receptors, including the effect of monolayer structure, headgroups, and crosslinking on target recognition. Concurrently, we will apply these receptors to the recognition of guests possessing multiple size scales, from small molecule guests to peptides and protein surfaces. We will also explore the recognition of cellular structures, and the use of this recognition for both imaging and therapeutic applications.