C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, 26506, USA.
Department of Statistics, West Virginia University, P.O. Box 6330, Morgantown, WV, 26506, USA.
J Am Soc Mass Spectrom. 2017 May;28(5):947-959. doi: 10.1007/s13361-017-1599-x. Epub 2017 Feb 16.
Collision cross-section (CCS) measurements with a linear drift tube have been utilized to study the gas-phase conformers of a model peptide (acetyl-PAAAAKAAAAKAAAAKAAAAK). Extensive molecular dynamics (MD) simulations have been conducted to derive an advanced protocol for the generation of a comprehensive pool of in-silico structures; both higher energy and more thermodynamically stable structures are included to provide an unbiased sampling of conformational space. MD simulations at 300 K are applied to the in-silico structures to more accurately describe the gas-phase transport properties of the ion conformers including their dynamics. Different methods used previously for trajectory method (TM) CCS calculation employing the Mobcal software [1] are evaluated. A new method for accurate CCS calculation is proposed based on clustering and data mining techniques. CCS values are calculated for all in-silico structures, and those with matching CCS values are chosen as candidate structures. With this approach, more than 300 candidate structures with significant structural variation are produced; although no final gas-phase structure is proposed here, in a second installment of this work, gas-phase hydrogen deuterium exchange data will be utilized as a second criterion to select among these structures as well as to propose relative populations for these ion conformers. Here the need to increase conformer diversity and accurate CCS calculation is demonstrated and the advanced methods are discussed. Graphical Abstract ᅟ.
利用线性漂移管进行碰撞截面 (CCS) 测量,研究了模型肽 (乙酰-PAAAAKAAAAKAAAAKAAAAK) 的气相构象体。进行了广泛的分子动力学 (MD) 模拟,以得出一种先进的方案来生成综合的虚拟结构池;包括更高能量和更热力学稳定的结构,以提供构象空间的无偏采样。在 300 K 下对虚拟结构进行 MD 模拟,以更准确地描述离子构象的气相输运性质,包括它们的动力学。评估了先前用于轨迹法 (TM) CCS 计算的 Mobcal 软件 [1] 中使用的不同方法。提出了一种基于聚类和数据挖掘技术的准确 CCS 计算新方法。为所有虚拟结构计算 CCS 值,并选择具有匹配 CCS 值的结构作为候选结构。通过这种方法,产生了 300 多个具有显著结构变化的候选结构;尽管这里没有提出最终的气相结构,但在这项工作的第二部分中,将利用气相氘交换数据作为第二个标准来选择这些结构,并提出这些离子构象体的相对丰度。本文演示了增加构象多样性和准确 CCS 计算的必要性,并讨论了先进的方法。