Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche "STEBICEF", Università degli Studi di Palermo, Viale delle Scienze-Ed, 17-90128 Palermo, Italy.
Int J Mol Sci. 2021 Jun 4;22(11):6070. doi: 10.3390/ijms22116070.
The approval of the first HIV-1 protease inhibitors (HIV-1 PRIs) marked a fundamental step in the control of AIDS, and this class of agents still represents the mainstay therapy for this illness. Despite the undisputed benefits, the necessary lifelong treatment led to numerous severe side-effects (metabolic syndrome, hepatotoxicity, diabetes, etc.). The HIV-1 PRIs are capable of interacting with "secondary" targets (off-targets) characterized by different biological activities from that of HIV-1 protease. In this scenario, the in-silico techniques undoubtedly contributed to the design of new small molecules with well-fitting selectivity against the main target, analyzing possible undesirable interactions that are already in the early stages of the research process. The present work is focused on a new mixed-hierarchical, ligand-structure-based protocol, which is centered on an on/off-target approach, to identify the new selective inhibitors of HIV-1 PR. The use of the well-established, ligand-based tools available in the DRUDIT web platform, in combination with a conventional, structure-based molecular docking process, permitted to fast screen a large database of active molecules and to select a set of structure with optimal on/off-target profiles. Therefore, the method exposed herein, could represent a reliable help in the research of new selective targeted small molecules, permitting to design new agents without undesirable interactions.
首个 HIV-1 蛋白酶抑制剂 (HIV-1 PRIs) 的获批,标志着艾滋病控制的一个重要里程碑,该类药物至今仍是治疗艾滋病的主要手段。尽管疗效毋庸置疑,但长期的治疗方案导致了许多严重的副作用(代谢综合征、肝毒性、糖尿病等)。HIV-1 PRIs 能够与具有不同生物活性的“次要”目标(非靶点)相互作用。在这种情况下,计算机技术无疑有助于设计针对主要目标具有良好选择性的新型小分子,分析在研究早期阶段已经存在的不良相互作用。本工作专注于一种新的混合层次、基于配体结构的方案,该方案以靶标内外结合的方法为中心,识别 HIV-1 PR 的新型选择性抑制剂。使用 DRUDIT 网络平台中已建立的、基于配体的成熟工具,结合常规的、基于结构的分子对接过程,能够快速筛选大量的活性分子数据库,并选择一组具有最佳内外靶标特性的结构。因此,本文所揭示的方法,可以为新的选择性靶向小分子的研究提供可靠的帮助,从而设计出没有不良相互作用的新型药物。