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通过计算机模拟和体外研究发现并优化天然来源的纳摩尔级 c-Kit 抑制剂。

Discovery and optimization of natural-based nanomolar c-Kit inhibitors via in silico and in vitro studies.

机构信息

BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Republic of Korea.

Pharmaceutical Chemistry Department, Faculty of Pharmacy, Badr University in Cairo, Cairo, Egypt.

出版信息

J Biomol Struct Dyn. 2023;41(21):11904-11915. doi: 10.1080/07391102.2022.2164061. Epub 2023 Jan 12.

Abstract

c-Kit is a receptor tyrosine kinase which is involved in intracellular signaling and mutations of c-Kit have been associated with various types of cancers. Investigations have shown that inhibition of c-Kit, using tyrosine kinase inhibitors, yielded promising results in cancer treatment marking it as a promising target for cancer therapy. However, the emerging resistance for the current therapy necessitates the development of more potent inhibitors which are not affected by these mutations. Herein, virtual screening of a library of natural-based compounds yielded three hits (, and ) which possessed nanomolar inhibitory (2.02, 4.33 and 2.80 nM, respectively) activity when tested in vitro against c-Kit. Single point mutation docking studies showed the hits to be unaffected by the most common resistance mutation in imatinib-resistant cells, mutation of Val654. Although, the top hits exhibited around 3000 higher inhibitory potency toward c-Kit when compared to imatinib (5.4 µM), previous studies have shown that they are metabolically unstable. Fragment-based drug design approaches were then employed to enhance binding affinity of the top hit and make it more metabolically stable. Screening of the generated fragments yielded a new derivative, , which demonstrated stronger binding affinity, stability and binding free energy when compared to the hit compound .Communicated by Ramaswamy H. Sarma.

摘要

c-Kit 是一种受体酪氨酸激酶,参与细胞内信号转导,c-Kit 的突变与多种类型的癌症有关。研究表明,使用酪氨酸激酶抑制剂抑制 c-Kit 在癌症治疗中取得了有希望的结果,这使其成为癌症治疗的有前途的靶点。然而,当前治疗方法的新兴耐药性需要开发更有效的抑制剂,这些抑制剂不受这些突变的影响。在此,对天然化合物库进行虚拟筛选,得到了三个命中化合物( 、 和 ),它们在体外对 c-Kit 的抑制活性分别为纳摩尔级(分别为 2.02、4.33 和 2.80 nM)。单点突变对接研究表明,这些命中化合物不受伊马替尼耐药细胞中最常见的耐药突变(Val654 突变)的影响。尽管,与伊马替尼(5.4 μM)相比,顶级命中化合物对 c-Kit 的抑制活性高出约 3000 倍,但之前的研究表明它们代谢不稳定。然后采用基于片段的药物设计方法来提高顶级命中化合物的结合亲和力使其更具代谢稳定性。生成片段的筛选得到了一种新的衍生物 ,与命中化合物 相比,它表现出更强的结合亲和力、稳定性和结合自由能。由 Ramaswamy H. Sarma 交流。

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