Hashemi Zahra Sadat, Zarei Mahboubeh, Fath Mohsen Karami, Ganji Mahmoud, Farahani Mahboube Shahrabi, Afsharnouri Fatemeh, Pourzardosht Navid, Khalesi Bahman, Jahangiri Abolfazl, Rahbar Mohammad Reza, Khalili Saeed
ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, Academic Center for Education, Culture and Research, Tehran, Iran.
Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Front Mol Biosci. 2021 Apr 28;8:669431. doi: 10.3389/fmolb.2021.669431. eCollection 2021.
Large contact surfaces of protein-protein interactions (PPIs) remain to be an ongoing issue in the discovery and design of small molecule modulators. Peptides are intrinsically capable of exploring larger surfaces, stable, and bioavailable, and therefore bear a high therapeutic value in the treatment of various diseases, including cancer, infectious diseases, and neurodegenerative diseases. Given these promising properties, a long way has been covered in the field of targeting PPIs peptide design strategies. tools have recently become an inevitable approach for the design and optimization of these interfering peptides. Various algorithms have been developed to scrutinize the PPI interfaces. Moreover, different databases and software tools have been created to predict the peptide structures and their interactions with target protein complexes. High-throughput screening of large peptide libraries against PPIs; "hotspot" identification; structure-based and off-structure approaches of peptide design; 3D peptide modeling; peptide optimization strategies like cyclization; and peptide binding energy evaluation are among the capabilities of tools. In the present study, the most recent advances in the field of approaches for the design of interfering peptides against PPIs will be reviewed. The future perspective of the field and its advantages and limitations will also be pinpointed.
蛋白质-蛋白质相互作用(PPI)的大接触面在小分子调节剂的发现和设计中仍然是一个持续存在的问题。肽本质上能够探索更大的表面,具有稳定性和生物利用度,因此在治疗包括癌症、传染病和神经退行性疾病在内的各种疾病方面具有很高的治疗价值。鉴于这些有前景的特性,在靶向PPI的肽设计策略领域已经取得了长足的进展。工具最近已成为设计和优化这些干扰肽的必然方法。已经开发了各种算法来仔细研究PPI界面。此外,还创建了不同的数据库和软件工具来预测肽结构及其与靶蛋白复合物的相互作用。针对PPI的大型肽库的高通量筛选;“热点”识别;基于结构和非结构的肽设计方法;3D肽建模;环化等肽优化策略;以及肽结合能评估都是工具的功能。在本研究中,将综述针对PPI设计干扰肽领域的最新进展。还将指出该领域的未来前景及其优势和局限性。