| Engineered Regeneration | |
| Multifunctional building elements for the construction of peptide drug conjugates | |
| Linwei Chen1  Zhipeng Chen2  Tangyong Xiang3  Heng Liu3  Liu Xu3  Baoping Jiang3  Junhong Yao3  Shan Xu3  Rongfeng Hu4  Hongliu Zhu5  | |
| [1] Yunnan Provincial Key Laboratory of Entomological Biopharmaceutical R&D, Dali University, Dali 671000, China;Anhui Province Key Laboratory of Pharmaceutical Preparation Technology and Application, Hefei 230012, China;College of pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China;Department of Dermatology, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin 214400, China;Laboratory animal center, Nanjing University of Chinese Medicine, Nanjing 210023, China; | |
| 关键词: Peptide-drug conjugates; Functional peptide; Self-assembly; Intelligent drug delivery system; | |
| DOI : | |
| 来源: DOAJ | |
【 摘 要 】
Engineering of smart building molecules is key basis in designing intelligent drug delivery systems. As an emerging sophisticated delivery system strategy, the powerful functions of peptide drug conjugates (PDCs) are attributed to a smart linker and multifunctional peptide domain. Peptides exhibit a wide range of functions and properties, including easy chemical synthesis and versatile modification, tunable biocompatibility, diversified self-assembled nanostructures, specific recognition/binding, and deep penetration of the cell membrane/extracellular matrix. In addition, various types of linkers enable PDCs to release drugs responsively according to the disease microenvironment or treatment needs. Owing to these inherent advantages, PDCs have been widely explored for drug delivery. Herein, the latest developments in functional peptides and linkers commonly used to construct smart PDCs are reviewed. The purpose is to bring widespread attention to PDC design strategies and their contribution to fighting various diseases, as well as to provide guidance for research on intelligent PDC drug delivery systems.
【 授权许可】
Unknown