Shukla Diwakar, Peck Ariana, Pande Vijay S
Department of Chemistry, Stanford University, Stanford, California 94305, USA.
SIMBIOS NIH Center for Biomedical Computation, Stanford University, Stanford, California 94305, USA.
Nat Commun. 2016 Apr 4;7:10910. doi: 10.1038/ncomms10910.
Calmodulin (CaM) is a ubiquitous Ca(2+) sensor and a crucial signalling hub in many pathways aberrantly activated in disease. However, the mechanistic basis of its ability to bind diverse signalling molecules including G-protein-coupled receptors, ion channels and kinases remains poorly understood. Here we harness the high resolution of molecular dynamics simulations and the analytical power of Markov state models to dissect the molecular underpinnings of CaM binding diversity. Our computational model indicates that in the absence of Ca(2+), sub-states in the folded ensemble of CaM's C-terminal domain present chemically and sterically distinct topologies that may facilitate conformational selection. Furthermore, we find that local unfolding is off-pathway for the exchange process relevant for peptide binding, in contrast to prior hypotheses that unfolding might account for binding diversity. Finally, our model predicts a novel binding interface that is well-populated in the Ca(2+)-bound regime and, thus, a candidate for pharmacological intervention.
钙调蛋白(CaM)是一种普遍存在的钙离子传感器,也是疾病中许多异常激活途径的关键信号枢纽。然而,其结合多种信号分子(包括G蛋白偶联受体、离子通道和激酶)能力的机制基础仍知之甚少。在这里,我们利用分子动力学模拟的高分辨率和马尔可夫状态模型的分析能力,剖析CaM结合多样性的分子基础。我们的计算模型表明,在没有钙离子的情况下,CaM C末端结构域折叠集合中的亚状态呈现出化学和空间上不同的拓扑结构,这可能有助于构象选择。此外,我们发现与肽结合相关的交换过程中,局部解折叠是偏离途径的,这与之前认为解折叠可能解释结合多样性的假设相反。最后,我们的模型预测了一个在钙离子结合状态下大量存在的新型结合界面,因此是药物干预的一个候选靶点。