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首页> 外文期刊>Cell chemical biology >Systems Structural Biology Analysis of Ligand Effects on ERa Predicts Cellular Response to Environmental Estrogens and Anti-hormone Therapies
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Systems Structural Biology Analysis of Ligand Effects on ERa Predicts Cellular Response to Environmental Estrogens and Anti-hormone Therapies

机译:系统结构生物学分析时代的配体效应预测环境雌激素和抗激素疗法的细胞反应

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摘要

Environmental estrogens and anti-hormone therapies for breast cancer have diverse tissue- and signaling-pathway-selective outcomes, but how estrogen receptor alpha (ERa) mediates this phenotypic diversity is poorly understood.Weimplemented a statistical approach to allow unbiased, parallel analyses of multiple crystal structures, and identified subtle perturbations of ERα structure by different synthetic and environmental estrogens. Many of these perturbations were in the sub-?range, within the noise of the individual structures, but contributed significantly to the activities of synthetic and environmental estrogens. Combining structural perturbation data from many structures with quantitative cellular activity profiles of the ligands enabled identification of structural rules for ligand-specific allosteric signaling—predicting activity from structure. This approach provides a framework for understanding the diverse effects of environmental estrogens and for guiding iterative medicinal chemistry efforts to generate improved breast cancer therapies, an approach that can be applied to understanding other ligand-regulated allosteric signaling pathways.
机译:乳腺癌的环境雌激素和抗激素治疗具有不同的组织和信号通路选择性结果,但雌激素受体α(ERa)如何介导这种表型多样性尚不清楚。Wei实施了一种统计方法,允许对多个晶体结构进行无偏平行分析,并确定了不同合成和环境雌激素对ERα结构的细微干扰。这些扰动中有许多是在亚微米级?在单个结构的噪声范围内,但对合成和环境雌激素的活性有显著影响。将来自许多结构的结构扰动数据与配体的定量细胞活性曲线相结合,能够识别配体特异性变构信号的结构规则,从而从结构预测活性。这种方法为理解环境雌激素的多种效应提供了一个框架,并指导反复的药物化学努力,以产生更好的乳腺癌治疗方法,这种方法可用于理解其他配体调节的变构信号通路。

著录项

  • 来源
    《Cell chemical biology 》 |2017年第1期| 共11页
  • 作者单位

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Dipartimento di Farmacia Universitàdi Pisa Via Bonanno 33 56126 Pisa Italy;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Computational Medicine and Bioinformatics University of Michigan Medical School Ann Arbor MI 48109 USA;

    Department of Computational Medicine and Bioinformatics University of Michigan Medical School Ann Arbor MI 48109 USA;

    Department of Molecular Therapeutics The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

    Department of Physiology and Biophysics Institute for Computational Biomedicine Weill Cornell Medical College 1305 York Avenue New York NY 10021 USA;

    Department of Chemistry University of Illinois 600 South Mathews Avenue Urbana IL 61801 USA;

    Department of Cancer Biology The Scripps Research Institute 130 Scripps Way Jupiter FL 33458 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 普通生物学 ; 生物化学 ;
  • 关键词

    Systems Structural Biology; Ligand Effects; Anti-hormone Therapies;

    机译:系统结构生物学;配体效果;抗激素疗法;

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