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Molecular Computing and Residual Binding Mode in ERα and bZIP Proteins from Homo Sapiens: An Insight into the Signal Transduction in Breast Cancer Metastasis

机译:来自Homo sapiens的ERα和Bzip蛋白中的分子计算和残余结合模式:深入了解乳腺癌转移中的信号转导

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摘要

The most provoking reason for death in breast cancer patients is the metastasis of breast cancer. Accumulating documentation states that signal transduction in human breast cancers initiate in estrogen-dependent manner with the signaling of estrogen receptor α-subunit (ERα) and XBP-1 (bZIP-domain) proteins. So, molecular level insight into the signaling mechanism is indispensable for future pathological and therapeutic developments. Thus, this current study discloses the stable residual participation of the two crucial human proteins for enhancing the signaling mechanism in breast tumor malignancies. For this purpose, 3D homology models of the respective proteins were prepared after the satisfaction of their stereo-chemical features. The protein–protein interaction was studied and protein complex was energy optimized. Revelation from the stability calculating parameters, solvent accessibility areas and interaction probes led to the inference of the most stable optimized complex and its residual participation (exceptional contribution of polar charged residues) for metastasis progression in breast cancer cells.
机译:乳腺癌患者中最激发的死亡原因是乳腺癌转移。累积文献规定人乳腺癌中的信号转导用雌激素受体α-亚基(ERα)和XBP-1(BZIP-域)蛋白的信号传导。因此,对未来病理和治疗发展的分子水平洞察是不可或缺的。因此,本前研究公开了两个关键的人类蛋白质的稳定残余参与,用于增强乳腺肿瘤恶性肿瘤中的信号传导机制。为此目的,在满足其立体化学特征后制备各自的蛋白质的3D同源模型。研究了蛋白质 - 蛋白质相互作用,并优化了蛋白质复合物。从稳定性计算参数的启示,溶剂可访问区域和相互作用探针导致最稳定的优化复合物的推动及其残余参与(极性带电残留物的卓越贡献)在乳腺癌细胞中转移进展。

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