Wei Zheng, Chen Meilun, Lu Xiaoling, Liu Yijie, Peng Guangnan, Yang Jie, Tang Chunhua, Yu Peng
Xiangya School of Pharmacy, Central South University, Changsha, Hunan, 410013, China.
School of Life Science, Central South University, Changsha, Hunan, 410013, China.
Curr Top Med Chem. 2024;24(8):667-685. doi: 10.2174/0115680266281358240206112605.
Peptides acquire target affinity based on the combination of residues in their sequences and the conformation formed by their flexible folding, an ability that makes them very attractive biomaterials in therapeutic, diagnostic, and assay fields. With the development of computer technology, computer-aided design and screening of affinity peptides has become a more efficient and faster method. This review summarizes successful cases of computer-aided design and screening of affinity peptide ligands in recent years and lists the computer programs and online servers used in the process. In particular, the characteristics of different design and screening methods are summarized and categorized to help researchers choose between different methods. In addition, experimentally validated sequences are listed, and their applications are described, providing directions for the future development and application of computational peptide screening and design.
肽通过其序列中残基的组合以及柔性折叠形成的构象获得靶标亲和力,这种能力使其在治疗、诊断和检测领域成为非常有吸引力的生物材料。随着计算机技术的发展,计算机辅助设计和筛选亲和肽已成为一种更高效、更快的方法。本文综述了近年来计算机辅助设计和筛选亲和肽配体的成功案例,并列出了该过程中使用的计算机程序和在线服务器。特别地,对不同设计和筛选方法的特点进行了总结和分类,以帮助研究人员在不同方法之间进行选择。此外,列出了经过实验验证的序列,并描述了它们的应用,为计算肽筛选和设计的未来发展及应用提供了方向。