正构配体和变构配体调节AR活性的变构协同机制研究:分子动力学研究。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Xiaotian Kong,Yushan Zou,Peng Cao,Yuxuan Dong,Keran Li,Xi Zhang,Yubo Liu,Sijin Wu,Sheng Tian,Chunhua Li,Tingjun Hou
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引用次数: 0

摘要

雄激素受体(AR)是前列腺癌的关键治疗靶点。然而,现有的正构配体结合口袋(LBP)拮抗剂[例如,enzalutamide (ENZ)]由于LBP中的耐药突变而遇到重大障碍。针对BF3位点的变构拮抗剂在克服这种耐药性方面表现出很大的潜力,但抑制效果较低。在我们的研究中,我们采用了集成的计算建模策略,包括高斯加速分子动力学(GaMD)、MM/GBSA自由能计算和基于弹性网络模型(ENM)的信号通信途径分析。该方法用于探讨变构BF3拮抗剂[如VPC-13808 (VPC)]与多种正构LBP配体[如ENZ和睾酮(TES)]在抑制AR活性中的协同作用。本文研究了四种类型的AR系统:AR与LBP激动剂(AR·TES)结合,LBP拮抗剂(如AR·ENZ), LBP激动剂/拮抗剂与BF3拮抗剂联合(如AR·TES·VPC和AR·ENZ·VPC)。结果表明,BF3拮抗剂可与LBP拮抗剂协同增强H12的构象柔韧性,诱导H12与H3和H4的反相关动力学。这导致H12向下移动并远离H3/H4,引发AF2结合间隙的大开口,并大大减少辅激活子的募集。此外,BF3拮抗剂可以与特定残基(如F673、F826、L830和Y834)相互作用,并与LBP激动剂或拮抗剂合作,以变构性地扰乱AF2构象。多种短距离和/或远距离的BF3→AF2和LBP→AF2信号转导通路参与其中,如F673→Y834→L722→L812→L744→V746→L873→ENZ→L880/V889/V891。这些机制见解为开发新型AR BF3拮抗剂和LBP-BF3联合疗法奠定了基础,为提高去势抵抗性前列腺癌治疗的疗效和克服耐药性提供了一条有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allosteric Cooperativity Mechanism Investigation of Orthosteric and Allosteric Ligands in Modulating AR Activity: A Molecular Dynamics Study.
The androgen receptor (AR) represents a pivotal therapeutic target for prostate cancer. However, existing orthosteric ligand-binding pocket (LBP) antagonists [e.g., enzalutamide (ENZ)] encounter significant obstacles due to resistance-conferring mutations in the LBP. Allosteric antagonists targeting the BF3 site exhibit great potential in overcoming such resistance but have low inhibitory efficacy. In our study, we employed an integrated computational modeling strategy, including Gaussian-accelerated molecular dynamics (GaMD), MM/GBSA free-energy calculations, and elastic network model (ENM)-based signaling communication pathway analyses. This approach is used to probe the cooperativity of allosteric BF3 antagonists [e.g., VPC-13808 (VPC)] with diverse orthosteric LBP ligands [e.g., ENZ and testosterone (TES)] in suppressing AR activity. Herein, four types of AR systems were examined: AR bound to LBP agonist (AR·TES), LBP antagonists (e.g., AR·ENZ), and combinations of LBP agonist/antagonist with BF3 antagonist (e.g., AR·TES·VPC and AR·ENZ·VPC). Results indicate that BF3 antagonists can synergize with the LBP antagonist to amplify conformational flexibility in H12 and induce anticorrelated dynamics of H12 with H3 and H4. This induces the downward movement of H12 and its displacement away from H3/H4, triggering the wide opening of the AF2 binding cleft and substantially reducing the coactivator recruitment. Furthermore, the BF3 antagonist can interact with specific residues (e.g., F673, F826, L830, and Y834) and cooperate with the LBP agonist or antagonist to allosterically perturb the AF2 conformation. Multiple short- and/or long-range BF3→AF2 and LBP→AF2 signaling transition pathways are involved, such as F673→Y834→L722→L812→L744→V746→L873→ENZ→L880/V889/V891. These mechanistic insights establish the foundation for developing novel AR BF3 antagonist and LBP-BF3 combination therapies, suggesting a promising avenue for enhancing the efficacy and overcoming the resistance in castration-resistant prostate cancer treatment.
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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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