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应用分子建模设计具有强效抗癌活性的创新型非对称 CXCR4 抑制剂。

Applying Molecular Modeling to the Design of Innovative, Non-Symmetrical CXCR4 Inhibitors with Potent Anticancer Activity.

机构信息

Grup de Química Farmacèutica, IQS School of Engineering, Universitat Ramon Llull, Via Augusta 390, E-08017 Barcelona, Spain.

Lymphoma Translational Group, Josep Carreras Leukaemia Research Institute, E-08916 Badalona, Spain.

出版信息

Int J Mol Sci. 2024 Aug 30;25(17):9446. doi: 10.3390/ijms25179446.

Abstract

The identification of new compounds with potential activity against CXC chemokine receptor type 4 (CXCR4) has been broadly studied, implying several chemical families, particularly AMD3100 derivatives. Molecular modeling has played a pivotal role in the identification of new active compounds. But, has its golden age ended? A virtual library of 450,000 tetraamines of general structure was constructed by using five spacers and 300 diamines, which were obtained from the corresponding commercially available cyclic amines. Diversity selection was performed to guide the virtual screening of the former database and to select the most representative set of compounds. Molecular docking on the CXCR4 crystal structure allowed us to rank the selection and identify those candidate molecules with potential antitumor activity against diffuse large B-cell lymphoma (DLBCL). Among them, compound {,} stood out for being a non-symmetrical structure, synthetically feasible, and with promising activity against DLBCL in in vitro experiments. The focused study of symmetrical-related compounds allowed us to identify potential pre-hits (IC50~20 µM), evidencing that molecular design is still relevant in the development of new CXCR4 inhibitor candidates.

摘要

人们广泛研究了识别具有潜在活性的新型化合物针对趋化因子 CXC 受体 4(CXCR4),涉及多种化学家族,特别是 AMD3100 衍生物。分子建模在识别新的活性化合物方面发挥了关键作用。但是,它的黄金时代已经结束了吗?使用五个间隔物和 300 种二胺构建了 450,000 个四胺的虚拟库,这些二胺是从相应的商业可得的环状胺获得的。多样性选择用于指导前数据库的虚拟筛选,并选择最具代表性的化合物集。对 CXCR4 晶体结构的分子对接使我们能够对选择进行排名,并确定那些具有潜在抗肿瘤活性的候选分子针对弥漫性大 B 细胞淋巴瘤(DLBCL)。其中,化合物{,}因其具有非对称结构、合成可行且对体外实验中弥漫性大 B 细胞淋巴瘤具有有前景的活性而脱颖而出。对对称相关化合物的重点研究使我们能够确定潜在的预命中(IC50~20 µM),证明分子设计在开发新的 CXCR4 抑制剂候选物方面仍然具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d76/11394923/2e608022d05e/ijms-25-09446-g001.jpg

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