发现多靶点小分子和高效siRNA设计,通过局部治疗克服乳腺癌耐药

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Seyed Mohammad Javad Hashemi , Hossein Ghalehnoei , Ali Barzegar , Mehran Feizi-Dehnayebi , Javad Akhtari , Amir Mellati
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引用次数: 0

摘要

在本研究中,我们设计了一种高效的PKMYT1基因敲低siRNA,并通过分子对接和分子动力学(MD)模拟评估了多种天然小分子与乳腺癌相关关键蛋白的结合亲和力。随后,在这些分子中,小分子SCHEMBL7562664作为“黄金配体”被引入,作为芳香化酶、雌激素受体α、HER2和PARP10的拮抗剂,以及MT2和STING的激动剂,显示出强大的多靶点活性。接下来,在298.15 K下,用GROMACS对6种蛋白金配体(PDB id: 4QXQ, 5GS4, 5JL6, 5LX6, 6ME6和7PCD)进行了超过100 ns的MD模拟,提供了有关其结构动力学的宝贵信息。旋转半径(Rg)分析表明,7PCD、5GS4、5LX6、4QXQ和5JL6配合物保持紧凑的结构(Rg在1.7 ~ 2.3 nm之间),而6ME6配合物表现出更大的延伸和柔性构象(平均Rg ~ 3.4 nm)。互补RMSD分析证实,大多数配合物在最小偏差(通常为0.3 nm)下迅速稳定,而6ME6配合物表现出更高的变异性,可达0.67 nm。此外,利用MM-GBSA和PBSA方法计算的结合自由能进一步支持了这些发现,能量范围为- 21.45±2.28 kcal/mol (5LX6)至- 39.79±1.34 kcal/mol (6ME6),表明6ME6和5JL6体系的内在相互作用和脱溶成本之间存在最佳平衡。基于DFT结果,与对照配体(如芳香化酶、他莫昔芬和dacomitinib)相比,金配体表现出更高的稳定性和更低的反应性,可能导致更少的脱靶相互作用和更有利的安全性。这些数据的整合强调了SCHEMBL7562664作为乳腺癌多靶点药物的治疗潜力,具有良好的药代动力学特性,可以通过结合到3D支架中来优化局部治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico discovery of multi-target small molecules and efficient siRNA design to overcome drug resistance in breast cancer via local therapy
In this study, we designed an efficient siRNA for PKMYT1 gene knockdown and evaluated the binding affinity of various natural small molecules to key proteins associated with breast cancer through molecular docking and molecular dynamics (MD) simulations. Subsequently, among these molecules, The small molecule, SCHEMBL7562664, was introduced as a “golden ligand” that showed potent multi‐target activity as an antagonist for aromatase, estrogen receptor α, HER2, and PARP10, and as an agonist for MT2 and STING. Next, MD simulations of six protein‐ golden ligand complexes (PDB IDs: 4QXQ, 5GS4, 5JL6, 5LX6, 6ME6, and 7PCD), performed with GROMACS over 100 ns at 298.15 K, provided valuable information about their structural dynamics. Analysis of the radius of gyration (Rg) revealed that, while five complexes (7PCD, 5GS4, 5LX6, 4QXQ, and 5JL6) maintained compact structures (Rg between 1.7 and 2.3 nm), the 6ME6 complex exhibited a more extended and flexible conformation (average Rg ∼3.4 nm). Complementary RMSD analysis confirmed that most complexes rapidly stabilized with minimal deviations (generally <0.3 nm), whereas the 6ME6 complex showed higher variability, reaching up to 0.67 nm. Furthermore, Binding free energy calculations using MM-GBSA and PBSA methods further supported these findings, with energies ranging from −21.45 ± 2.28 kcal/mol (5LX6) to −39.79 ± 1.34 kcal/mol (6ME6), indicating an optimal balance between intrinsic interactions and desolvation costs in the 6ME6 and 5JL6 systems. Based on DFT results, the golden ligand showed higher stability and lower reactivity compared to control ligands such as aromatase, tamoxifen, and dacomitinib, potentially leading to reduced off-target interactions and a more favorable safety profile. The integration of these data underscores the therapeutic potential of SCHEMBL7562664 as a multi-target agent for breast cancer, with promising pharmacokinetic properties that can be optimized for local treatment by incorporation into a 3D scaffold.
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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