Suppr超能文献

材料结合肽的应用:综述。

Applications of Material-Binding Peptides: A Review.

机构信息

School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu 210023, China.

出版信息

ACS Biomater Sci Eng. 2022 Nov 14;8(11):4738-4750. doi: 10.1021/acsbiomaterials.2c00651. Epub 2022 Oct 13.

Abstract

Material-binding peptides (MBPs) are functionalized adhesive materials consisting of a few to several dozen amino acids. This affinity between MBPs and materials is regulated by multiple interactions, including hydrogen bonding, electrostatic, hydrophobic interactions, and π-π stacking. They show selective binding and high affinity to a diverse range of inorganic and organic materials, such as silicon-based materials, metals, metal compounds, carbon materials, and polymers. They are used to improve the biocompatibility of materials, increase the efficiency of material synthesis, and guide the controlled synthesis of nanomaterials. In addition, these can be used for precise targeting of proteins by conjugating to target biomolecules. In this review, we summarize the main designs and applications of MBPs in recent years. The discussions focus on more efficient and functional peptides, including evolution and overall design of MBPs. We have also highlighted the recent applications of MBPs, such as functionalization of material surfaces, synthesis of nanomaterials, drug delivery, cancer therapy, and plastic degradation. Besides, we also discussed the development trend of MBPs. This interpretation will accelerate future investigations to bottleneck the drawbacks of available MBPs, promoting their commercial applications.

摘要

材料结合肽(MBPs)是由几个到几十个氨基酸组成的功能化的黏附材料。MBP 与材料之间的这种亲和力受到多种相互作用的调节,包括氢键、静电、疏水相互作用和π-π堆积。它们对各种无机和有机材料,如基于硅的材料、金属、金属化合物、碳材料和聚合物,表现出选择性结合和高亲和力。它们被用于提高材料的生物相容性、提高材料合成的效率,并指导纳米材料的可控合成。此外,通过与靶标生物分子缀合,这些肽可用于蛋白质的精确靶向。在这篇综述中,我们总结了近年来 MBPs 的主要设计和应用。讨论集中在更高效和功能化的肽上,包括 MBPs 的进化和整体设计。我们还强调了 MBPs 的最近应用,如材料表面的功能化、纳米材料的合成、药物输送、癌症治疗和塑料降解。此外,我们还讨论了 MBPs 的发展趋势。这一解释将加速未来的研究,以解决现有 MBPs 的缺点,促进其商业应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验