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使用PI3Kα特异性抑制剂和ATP对PIK3CA热点突变进行比较分子动力学分析。

Comparative molecular dynamics analyses on PIK3CA hotspot mutations with PI3Kα specific inhibitors and ATP.

作者信息

Menteş Muratcan, Karakuzulu Başak Buse, Uçar Gönlüm Bahar, Yandım Cihangir

机构信息

Izmir University of Economics, Faculty of Engineering, Department of Genetics and Bioengineering, 35330 Balçova, İzmir, Turkey.

Izmir University of Economics, Faculty of Engineering, Department of Genetics and Bioengineering, 35330 Balçova, İzmir, Turkey; Izmir Biomedicine and Genome Center (IBG), Dokuz Eylül University Health Campus, 35340 İnciraltı, İzmir, Turkey.

出版信息

Comput Biol Chem. 2022 Aug;99:107726. doi: 10.1016/j.compbiolchem.2022.107726. Epub 2022 Jul 8.

Abstract

PI3K pathway is heavily emphasized in cancer where PIK3CA, which encodes for the p110α subunit of PI3Kα, presents itself as the second most common mutated gene. A lot of effort has been put in developing PI3K inhibitors, opening promising avenues for the treatment of cancer. Among these, PI3Kα specific inhibitor alpelisib was approved by FDA for breast cancer and other α-isoform specific inhibitors such as inavolisib and serabelisib reached clinical trials. However, the mode of action of these inhibitors on mutated PI3Kα and how they interact with mutant structures has not been fully elucidated yet. In this study, we are revealing the calculated interactions and binding affinities of these inhibitors within the context of PIK3CA hotspot mutations (E542K, E545K and H1047R) by employing molecular dynamics (MD) simulations. We performed principal component analysis to understand the motions of the protein complex during our simulations and also checked the correlated motions of all amino acids. Binding affinity calculations with MM-PBSA confirmed the consistent binding of alpelisib across mutations and revealed relatively higher affinities for inavolisib towards wild-type and H1047R mutant structures in comparison to other inhibitors. On the other hand, E542K mutation significantly impaired the interaction of inavolisib and serabelisib with PI3Kα. We also investigated the structural relationship of the natural ligand ATP with PI3Kα, and interestingly realized a significant reduction in binding affinity for the mutants, with potentially unexpected implications on the mechanisms that render these mutations oncogenic. Moreover, correlated motions of all residues were generally higher for ATP except the H1047R mutation which exhibited a distinguishable reduction. The results presented here could be guiding for pre-clinical and clinical studies of personalized medicine where individual mutations are a strong consideration point.

摘要

PI3K通路在癌症中受到高度重视,其中编码PI3Kα的p110α亚基的PIK3CA是第二常见的突变基因。人们在开发PI3K抑制剂方面付出了很多努力,为癌症治疗开辟了有前景的途径。其中,PI3Kα特异性抑制剂阿培利司已被美国食品药品监督管理局(FDA)批准用于治疗乳腺癌,其他α异构体特异性抑制剂如伊纳沃利司和塞拉贝利司已进入临床试验阶段。然而,这些抑制剂对突变型PI3Kα的作用模式以及它们与突变结构的相互作用方式尚未完全阐明。在本研究中,我们通过分子动力学(MD)模拟揭示了这些抑制剂在PIK3CA热点突变(E542K、E545K和H1047R)背景下的计算相互作用和结合亲和力。我们进行了主成分分析以了解模拟过程中蛋白质复合物的运动,并检查了所有氨基酸的相关运动。使用MM-PBSA进行的结合亲和力计算证实了阿培利司在各突变体中的一致结合,并揭示了与其他抑制剂相比,伊纳沃利司对野生型和H1047R突变体结构具有相对更高的亲和力。另一方面,E542K突变显著削弱了伊纳沃利司和塞拉贝利司与PI3Kα的相互作用。我们还研究了天然配体ATP与PI3Kα的结构关系,有趣的是,发现突变体的结合亲和力显著降低,这可能对使这些突变致癌的机制产生意想不到的影响。此外,除了表现出明显降低的H1047R突变外,ATP的所有残基的相关运动通常更高。本文给出的结果可为个性化医学的临床前和临床研究提供指导,其中个体突变是一个重要的考虑因素。

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