Department of Cancer Biology, The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA.
Dipartimento di Farmacia, Università di Pisa, Via Bonanno 33, 56126 Pisa, Italy.
Cell Chem Biol. 2017 Jan 19;24(1):35-45. doi: 10.1016/j.chembiol.2016.11.014. Epub 2016 Dec 29.
Environmental estrogens and anti-hormone therapies for breast cancer have diverse tissue- and signaling-pathway-selective outcomes, but how estrogen receptor alpha (ERα) mediates this phenotypic diversity is poorly understood. We implemented 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-Å 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.
环境雌激素和抗激素疗法对乳腺癌具有不同的组织和信号通路选择性,但雌激素受体 alpha(ERα)如何介导这种表型多样性还知之甚少。我们采用了一种统计方法,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。其中许多干扰处于亚埃范围内,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贡献。将来自许多结构的结构干扰数据与配体的定量细胞活性谱相结合,使得能够确定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作用提供了一个框架,并为指导迭代药物化学努力以生成改善的乳腺癌治疗方法提供了指导,这种方法可应用于理解其他配体调节的变构信号通路。