揭示突变AR-LBD中配体诱导的构象变化:雄激素受体-辅激活剂机制的分子动力学见解。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Madiha Sardar, Nadeem Ahmad, Mamona Mushtaq, Hendrik Heinz, Mohammad Nur-e-Alam and Zaheer Ul-Haq*, 
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引用次数: 0

摘要

雄激素受体(AR)是一种核受体,参与调节基因表达,维持性表型,并参与前列腺癌(PCa)的发展。激动剂的结合,如双氢睾酮(DHT),触发AR的构象变化,影响辅激活剂的相互作用,并调节下游信号通路。尽管AR的激活取决于其配体结合域(LBD)和辅激活剂之间的相互作用,但配体结合对这些相互作用的确切影响尚不清楚。拮抗剂如阿帕鲁胺、比卡鲁胺和恩杂鲁胺抑制AR激活,用于治疗PCa。然而,由于AR- lbd的突变,它们的长期有效性经常降低,这可能使AR从拮抗状态转变为激动状态,从而降低治疗效果。驱动这种转换的机制尚未完全阐明。本研究通过分子动力学模拟,在总时间为10.5 μs的情况下,对突变体AR_LBD的配体扰动进行了原子水平的研究,重点研究了配体的构象变化及其对ar -辅激活剂相互作用的影响。结果表明,激动剂DHT稳定激活功能-2区(AF-2),从而促进ar辅激活剂的相互作用,而拮抗剂诱导螺旋12的明显变化,破坏这些相互作用。此外,AR-LBD中的F876L和T877A突变改变了配体到助激活剂的变构途径,包括助激活剂、螺旋3 (H3)、螺旋4 (H4)、H3-H4之间的环和螺旋12 (H12),可能将ar -阿帕鲁酰胺复合物从拮抗状态转化为激动状态。自由能分解计算表明,突变AR体系比拮抗AR具有更高的结合亲和力,其静电相互作用和构象熵与结合自由能的确定有关。该研究表明,AR- lbd的点突变通过改变AR和AF-2结构,诱导从拮抗状态向激动状态转变,从而导致持续的共激活物募集和持续的AR活性。通过应用动态互相关矩阵、主成分分析、自由能景观计算和结构群落分析,本研究为ar共激活物相互作用提供了有价值的见解,为更有效地治疗去势抵抗性前列腺癌铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unveiling Ligand-Induced Conformational Changes in Mutant AR-LBD: Molecular Dynamics Insights into the Androgen Receptor-Coactivator Mechanism

Unveiling Ligand-Induced Conformational Changes in Mutant AR-LBD: Molecular Dynamics Insights into the Androgen Receptor-Coactivator Mechanism

The androgen receptor (AR) is a nuclear receptor involved in regulating gene expression, maintaining the sexual phenotype, and contributing to the development of prostate cancer (PCa). The binding of agonists, such as dihydrotestosterone (DHT), triggers conformational changes in the AR, affecting coactivator interactions, and regulates downstream signaling pathways. Although AR activation depends on interactions between its ligand-binding domain (LBD) and coactivators, the precise impact of ligand binding on these interactions remains unclear. Antagonists such as apalutamide, bicalutamide, and enzalutamide inhibit AR activation and are used to treat PCa. However, their long-term effectiveness is often reduced due to mutations in AR-LBD, which can shift the AR from an antagonistic to an agonistic state, diminishing treatment efficacy. The mechanisms driving this conversion have not been fully elucidated. This study employed atomic-level investigations through molecular dynamics simulation with multiple replicas covering a total time frame of 10.5 μs, to investigate ligand induced perturbations in mutants AR_LBD, particularly focusing on conformational changes and the effect on AR-coactivator interaction. The results demonstrated that DHT, an agonist, stabilizes the activation function-2 region (AF-2), thereby promoting AR-coactivator interactions, while antagonists induce distinct changes in helix 12 that disrupt these interactions. In addition, F876L and T877A mutations in AR-LBD alter the ligand-to-coactivator allosteric pathway involving the coactivator, helix 3 (H3), helix 4 (H4), the loop between H3–H4, and helix 12 (H12), potentially converting the AR-apalutamide complex from an antagonistic to an agonistic state. The free energy decomposition calculations exhibited that AR mutant systems possess higher binding affinities than antagonistic ARs, with electrostatic interactions and conformational entropies associated with the determination of the binding free energies. The study suggests that point mutations in AR-LBD induce a shift from an antagonistic to an agonistic state by altering the AR and AF-2 structure, resulting in continuous coactivator recruitment and sustained AR activity. Through the application of a dynamic cross-correlation matrix, principal component analysis, free energy landscape computation, and structural community analysis, this research offers valuable insights into AR-coactivator interactions, paving the way for more effective treatments against castration-resistant prostate cancer.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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