Departamento de Ciencia y Tecnologia, Universidad Nacional de Quilmes/CONICET, Roque Saenz Peña 352, B1876BXD, Bernal, Argentina.
J Comput Chem. 2018 Nov 5;39(29):2472-2480. doi: 10.1002/jcc.25590. Epub 2018 Oct 9.
Epidermal growth factor receptor (EGFR) is a prototypical cell-surface receptor that plays a key role in the regulation of cellular signaling, proliferation and differentiation. Mutations of its kinase domain have been associated with the development of a variety of cancers and, therefore, it has been the target of drug design. Single amino acid substitutions (SASs) in this domain have been proven to alter the equilibrium of pre-existing conformer populations. Despite the advances in structural descriptions of its so-called active and inactive conformations, the associated dynamics aspects that characterize them have not been thoroughly studied yet. As the dynamic behaviors and molecular motions of proteins are important for a complete understanding of their structure-function relationships we present a novel procedure, using (or based on) normal mode analysis, to identify the collective dynamics shared among different conformers in EGFR kinase. The method allows the comparison of patterns of low-frequency vibrational modes defining representative directions of motions. Our procedure is able to emphasize the main similarities and differences between the collective dynamics of different conformers. In the case of EGFR kinase, two representative directions of motions have been found as dynamics fingerprints of the active conformers. Protein motion along both directions reveals to have a significant impact on the cavity volume of the main pocket of the active site. Otherwise, the inactive conformers exhibit a more heterogeneous distribution of collective motions. © 2018 Wiley Periodicals, Inc.
表皮生长因子受体(EGFR)是一种典型的细胞表面受体,在细胞信号转导、增殖和分化的调节中起着关键作用。其激酶结构域的突变与多种癌症的发生有关,因此它一直是药物设计的靶点。该结构域中的单个氨基酸取代(SAS)已被证明会改变现有构象物种群的平衡。尽管在其所谓的活性和非活性构象的结构描述方面取得了进展,但尚未对其相关动力学特征进行深入研究。由于蛋白质的动态行为和分子运动对于全面理解其结构-功能关系非常重要,因此我们提出了一种新的方法,使用(或基于)正常模式分析,来识别 EGFR 激酶中不同构象之间共享的集体动力学。该方法允许比较定义运动代表性方向的低频振动模式的模式。我们的程序能够强调不同构象的集体动力学之间的主要相似性和差异。在 EGFR 激酶的情况下,已经发现了两种代表运动方向作为活性构象的动力学指纹。蛋白质沿着这两个方向的运动都对活性部位主要口袋的腔体积有显著影响。相反,非活性构象表现出更不均匀的集体运动分布。©2018 年 Wiley 期刊,公司