Center for Nuclear Magnetic Resonance, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia.
Laboratory for Epigenomics, Division of Molecular Medicine, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia.
Int J Mol Sci. 2021 Aug 24;22(17):9106. doi: 10.3390/ijms22179106.
Antisense peptide technology (APT) is based on a useful heuristic algorithm for rational peptide design. It was deduced from empirical observations that peptides consisting of complementary (sense and antisense) amino acids interact with higher probability and affinity than the randomly selected ones. This phenomenon is closely related to the structure of the standard genetic code table, and at the same time, is unrelated to the direction of its codon sequence translation. The concept of is discussed, and its possible applications to diagnostic tests and bioengineering research are summarized. Problems and difficulties that may arise using APT are discussed, and possible solutions are proposed. The methodology was tested on the example of SARS-CoV-2. It is shown that the CABS-dock server accurately predicts the binding of antisense peptides to the SARS-CoV-2 receptor binding domain without requiring predefinition of the binding site. It is concluded that the benefits of APT outweigh the costs of random peptide screening and could lead to considerable savings in time and resources, especially if combined with other computational and immunochemical methods.
反义肽技术（APT）是基于一种有用的合理肽设计启发式算法。它是从经验观察中推断出来的，即由互补（正义和反义）氨基酸组成的肽比随机选择的肽相互作用的概率和亲和力更高。这种现象与标准遗传密码表的结构密切相关，同时与密码子序列翻译的方向无关。讨论了这一概念，并总结了其在诊断测试和生物工程研究中的可能应用。讨论了使用 APT 可能出现的问题和困难，并提出了可能的解决方案。该方法在 SARS-CoV-2 的例子中进行了测试。结果表明，CABS-dock 服务器无需预先定义结合位点即可准确预测反义肽与 SARS-CoV-2 受体结合域的结合。结论是，APT 的好处超过了随机肽筛选的成本，并可能导致时间和资源的大量节省，特别是如果与其他计算和免疫化学方法相结合的话。
