权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Nanoparticle Materials as Chemical and Biological Tools for Peptides and Proteins

纳米颗粒材料作为肽和蛋白质的化学和生物工具

基本信息

批准号：
2002659
负责人：
Yan Zhao
金额：
$ 52.5万
依托单位：
Iowa State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-15 至 2024-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2002659&HistoricalAwards=false
关键词：
Nanoparticle Materials Chemical Biological Tools

项目摘要

PART 1: NON-TECHNICAL SUMMARYProteins are extremely important biomolecules involved in practically every biological process. Although synthetic materials that bind peptides and proteins in aqueous environments are highly desirable, they are difficult to produce due to complexity of biological peptides. The research group of Professor Yan Zhao at Iowa State University develops novel antibody-mimicking polymeric nanoparticles for sequence-specific recognition of peptides. These materials are expected to enable numerous applications in chemistry and biology including identification of functional residues responsible for Alzheimer’s disease, regulation of enzymatic catalysis, and purification of peptides and proteins. The research trains student researchers into professional scientists by exposing them to a wide range of skills in biomaterials science, physical organic chemistry, supramolecular chemistry, and polymer chemistry.PART 2: TECHNICAL SUMMARYProteins are extremely important biomolecules involved in practically every biological process. Although synthetic materials that bind peptides and proteins in competitive aqueous environments have numerous applications in chemistry and biology, they are difficult to produce because of complexity of the guest, subtle structural differences among some amino acids, and difficulty in molecular recognition in water. This project, funded by the Biomaterials Program of the Division of Materials Research, supports Professor Yan Zhao of Iowa State University to develop antibody-mimicking polymeric nanoparticles for sequence-specific recognition of peptides. The materials are prepared through molecular imprinting within cross-linked surfactant micelles and can be tuned systematically in their molecular recognition. With abilities to distinguish closely related amino acid residues, they can be used to probe functional roles of specific sequences in a long peptide, as well as flexible loops catalytically relevant in an enzyme. By their strong and tunable binding for peptides, they enable facile purification of peptides and proteins from complex mixtures.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

第 1 部分：非技术摘要蛋白质是极其重要的生物分子，几乎参与每个生物过程。尽管在水性环境中结合肽和蛋白质的合成材料是非常理想的，但由于生物肽的复杂性，它们很难生产。爱荷华州立大学赵岩教授的研究小组开发了新型抗体模拟聚合物纳米颗粒，用于肽的序列特异性识别。这些材料有望在化学和生物学领域得到广泛应用，包括识别与阿尔茨海默病有关的功能残基、酶催化的调节以及肽和蛋白质的纯化。该研究通过让学生研究人员接触生物材料科学、物理有机化学、超分子化学和高分子化学等广泛的技能，将他们培养成专业科学家。第 2 部分：技术摘要蛋白质是极其重要的生物分子，几乎参与每个生物过程。尽管在竞争性水环境中结合肽和蛋白质的合成材料在化学和生物学中具有广泛的应用，但由于客体的复杂性、某些氨基酸之间的细微结构差异以及水中分子识别的困难，它们很难生产。该项目由材料研究部生物材料计划资助，支持爱荷华州立大学赵岩教授开发模拟抗体的聚合物纳米粒子，用于肽的序列特异性识别。这些材料是通过交联表面活性剂胶束内的分子印迹制备的，并且可以系统地调整其分子识别。它们能够区分密切相关的氨基酸残基，可用于探测长肽中特定序列的功能作用，以及酶中催化相关的柔性环。通过与肽的强且可调节的结合，它们能够从复杂的混合物中轻松纯化肽和蛋白质。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。