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基于配体/结构的计算机模拟设计新型 CDK-1/PARP-1 双重抑制剂作为抗乳腺癌药物。

In Silico Mixed Ligand/Structure-Based Design of New CDK-1/PARP-1 Dual Inhibitors as Anti-Breast Cancer Agents.

机构信息

Dipartimento di Scienze e Tecnologie Biologiche Chimiche e Farmaceutiche "STEBICEF", University of Palermo, Viale delle Scienze, Ed. 17, 90128 Palermo, Italy.

Istituto per lo Studio dei Materiali Nanostrutturati (ISMN), Consiglio Nazionale delle Ricerche (CNR), 90146 Palermo, Italy.

出版信息

Int J Mol Sci. 2023 Sep 6;24(18):13769. doi: 10.3390/ijms241813769.

Abstract

CDK-1 and PARP-1 play crucial roles in breast cancer progression. Compounds acting as CDK-1 and/or PARP-1 inhibitors can induct cell death in breast cancer with a selective synthetic lethality mechanism. A mixed treatment by means of CDK-1 and PARP-1 inhibitors resulted in radical breast cancer cell growth reduction. Inhibitors with a dual target mechanism of action could arrest cancer progression by simultaneously blocking the DNA repair mechanism and cell cycle, resulting in advantageous monotherapy. To this aim, in the present work, we identified compound with a significant affinity for both CDK-1 and PARP-1 by a mixed ligand- and structure-based virtual screening protocol. The Biotarget Predictor Tool was used at first in a Multitarget mode to filter the large National Cancer Institute (NCI) database. Then, hierarchical docking studies were performed to further screen the compounds and evaluate the ligands binding mode, whose putative dual-target mechanism of action was investigated through the correlation between the antiproliferative activity data and the target proteins' (CDK-1 and PARP-1) expression pattern. Finally, a Molecular Dynamics Simulation confirmed the high stability of the most effective selected compound in complex with both PARP-1 and CDK-1.

摘要

CDK-1 和 PARP-1 在乳腺癌的进展中起着至关重要的作用。作为 CDK-1 和/或 PARP-1 抑制剂的化合物可以通过选择性合成致死机制诱导乳腺癌细胞死亡。CDK-1 和 PARP-1 抑制剂的联合治疗导致乳腺癌细胞生长明显减少。具有双重作用机制的抑制剂可以通过同时阻断 DNA 修复机制和细胞周期来阻止癌症进展,从而实现有利的单药治疗。为此,在本工作中,我们通过混合配体和基于结构的虚拟筛选方案鉴定了对 CDK-1 和 PARP-1 均具有显著亲和力的化合物 。首先,使用 Biotarget Predictor Tool 在多靶模式下筛选大型国家癌症研究所 (NCI) 数据库。然后,进行层次对接研究,进一步筛选化合物并评估配体结合模式,通过将抗增殖活性数据与靶蛋白(CDK-1 和 PARP-1)表达模式相关联来研究其潜在的双重作用机制。最后,分子动力学模拟证实了与 PARP-1 和 CDK-1 复合物中最有效选择的化合物 的高稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/10531453/dc8ebbb72998/ijms-24-13769-g001.jpg

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