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将经过实验验证的抗乳腺癌肽重新定位,以靶向粘着斑激酶-配对盒基因复合物来阻止乳腺癌进展:一种生物分子模拟方法。

Repositioning of experimentally validated anti-breast cancer peptides to target FAK-PAX complex to halt the breast cancer progression: a biomolecular simulation approach.

作者信息

Khan Abbas, Shan Shengzhou, Toor Tayyba Fatima, Suleman Muhammad, Wang Yanjing, Zhou Jia, Wei Dong-Qing

机构信息

Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.

Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.

出版信息

Mol Divers. 2023 Apr;27(2):603-618. doi: 10.1007/s11030-022-10438-0. Epub 2022 May 30.

Abstract

FAK (focal adhesin kinase), a tyrosine kinase, plays an imperative role in cell-cell communication, particularly in cell signaling systems. It is a multi-functional signaling protein, which integrates and transduces signals into cancer cells through growth factor receptors or integrin and its interaction with Paxillin (PAX). The molecular processes by which FAK promotes the development and progression of cancer have progressively established the possible relationship between FAK-PAX complex in many types of cancer. The interaction of FAX and PAX is very important in breast cancer and thus acts as an essential biomarker for drugs, vaccines or peptide inhibitor designing. In this regard, computational approaches, particularly peptide designing to target the binding interface of the interacting partners, would greatly assist the design of peptide inhibitors against various cancer. Accordingly, in this present study, we screened 236 experimentally validated anti-breast cancer peptides using computational drugs repositioning approach to design peptides targeting the FAK-PAX complex. Using protein-peptide docking the binding site for the HP1 was confirmed and a total of 236 anti-breast cancer peptides were screened. Among the 236, only 12 peptides reported a docking score better than the control. From these 12, Magainin with the docking score - 103.8 ± 10.3 kcal/mol, NRC-07 with the docking score - 100.8 ± 16.5 kcal/mol, and Indolicidin with the docking score - 101.7 ± 3.9 kcal/mol, peptides potentially inhibit the FAX-PAX binding. Calculation of protein's motion and FEL revealed the binding and inhibitory behavior. Moreover, binding free energy (MM/GBSA) confirmed that Magainin exhibited the total binding energy - 53.28 kcal/mol, NRC-07 possessed the TBE - 44.16 kcal/mol, and Indolicidin reported the TBE of - 40.48 kcal/mol, thus explaining the inhibitory potential of these peptides. In conclusion, these peptides exhibit strong inhibitory potential and could abrogate the FAK-PAX complex in in vitro models and thus may relieve the burden of breast cancer.

摘要

黏着斑激酶(FAK)是一种酪氨酸激酶,在细胞间通讯尤其是细胞信号系统中发挥着至关重要的作用。它是一种多功能信号蛋白,通过生长因子受体或整合素将信号整合并传导至癌细胞,且与桩蛋白(PAX)相互作用。FAK促进癌症发展和进展的分子过程已逐渐明确了其在多种癌症中与FAK - PAX复合物之间可能存在的关系。FAX与PAX的相互作用在乳腺癌中非常重要,因此可作为设计药物、疫苗或肽抑制剂的重要生物标志物。在这方面,计算方法,特别是针对相互作用伙伴结合界面的肽设计,将极大地有助于设计针对各种癌症的肽抑制剂。因此,在本研究中,我们使用计算药物重新定位方法筛选了236种经实验验证的抗乳腺癌肽,以设计靶向FAK - PAX复合物的肽。通过蛋白质 - 肽对接,确定了HP1的结合位点,并筛选出总共236种抗乳腺癌肽。在这236种肽中,只有12种肽的对接分数优于对照。在这12种肽中,蛙皮素的对接分数为 - 103.8±10.3千卡/摩尔,NRC - 07的对接分数为 - 100.8±16.5千卡/摩尔,吲哚杀菌素的对接分数为 - 101.7±3.9千卡/摩尔,这些肽可能抑制FAX - PAX的结合。蛋白质运动和自由能景观计算揭示了其结合和抑制行为。此外,结合自由能(MM/GBSA)证实,蛙皮素的总结合能为 - 53.28千卡/摩尔,NRC - 07的总结合能为 - 44.16千卡/摩尔,吲哚杀菌素的总结合能为 - 40.48千卡/摩尔,从而解释了这些肽的抑制潜力。总之,这些肽具有很强的抑制潜力,可在体外模型中消除FAK - PAX复合物,因此可能减轻乳腺癌的负担。

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