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Computational and pharmacological modeling of membrane proteins.

机译:膜蛋白的计算和药理模型。

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Computational modeling has played a great role in solving many questions in biochemical and biomedical research. Computers in chemistry are now readily used to study enzymatic reactions, protein-ligand binding, protein folding, macromolecular assembly and other dynamical phenomena. Particularly, in the realm of cell membrane and transmembrane-protein chemistry, computer modeling has provided a great deal of information and guidance. The research presented here in this dissertation furthers the body of work in membrane-protein modeling. The mechanical properties of membranes---tension and lateral pressure---are demonstrated along with the change in these features when a peptide (melittin) is inserted into the membrane. By the simulation technique of umbrella sampling, the thermodynamics of a model hexapeptide (WL5) are probed, as it transverses the span of a membrane. The first free energy calculation of such a system is presented. Coupled with previous experimental findings, a grand model of peptide insertion and aggregation in a membrane host is assembled. Membrane proteins also serve as pharmacological targets in drug discovery. The work presented here focuses on the acetylcholine binding protein (AChBP), a surrogate structure of the nicotinic acetylcholine receptor (nAChR). A virtual screening study was conducted using the relaxed-complex method---in which protein flexibility is captured via a molecular dynamics simulation---of AChBP against a database of ligands from the National Cancer Institute (NCI). The study shows that several small molecule ligands from NCI can bind AChBP and possibly nAChR. Such ligands can serve to differentiate between the three species of AChBP and between the subtypes of the receptor. Furthermore, such ligands can resemble agonistic/antagonistic behavior of addictive narcotics, thus aiding in counter-drug addiction treatments. A final, peripheral membrane-protein is also studied here; a molecular dynamics simulation of the cytosolic phospholipase A2 (CPLA2) is conducted, along with a docking study of its known inhibitors. The results are correlated with experimental deuterium exchange data, to afford a broader understanding of protein-ligand interactions in this system. As CPLA2 is an important target in pharmacology, this work contributes to the design of novel ligands that can bind appreciably to the enzyme.
机译:计算模型在解决生化和生物医学研究中的许多问题中发挥了重要作用。化学中的计算机现在很容易用于研究酶促反应,蛋白质-配体结合,蛋白质折叠,大分子组装和其他动力学现象。特别是在细胞膜和跨膜蛋白化学领域,计算机建模提供了大量的信息和指导。本文所进行的研究进一步推动了膜蛋白建模的研究。当将肽(蜂毒素)插入膜中时,膜的机械性能-张力和侧向压力-以及这些特征的变化得到了证明。通过伞式采样的模拟技术,探查了模型六肽(WL5)的热力学,因为该模型横穿了膜的跨度。提出了这种系统的第一次自由能计算。结合先前的实验发现,组装了膜宿主中肽插入和聚集的大模型。膜蛋白还可以作为药物发现中的药理靶标。本文介绍的工作集中在乙酰胆碱结合蛋白(AChBP),这是一种烟碱乙酰胆碱受体(nAChR)的替代结构。针对美国国立癌症研究所(NCI)配体数据库,使用AchBP的放松复杂方法-通过分子动力学模拟捕获蛋白质的柔性-进行了虚拟筛选研究。研究表明,来自NCI的几种小分子配体可以结合AChBP并可能结合nAChR。此类配体可用于区分三种AChBP和受体的亚型。此外,此类配体可类似于成瘾麻醉剂的激动/拮抗行为,从而有助于抗毒成瘾治疗。在这里还研究了最终的外周膜蛋白。进行了胞质磷脂酶A2(CPLA2)的分子动力学模拟,以及对它的已知抑制剂的对接研究。结果与实验氘交换数据相关,以提供对该系统中蛋白质-配体相互作用的更广泛了解。由于CPLA2在药理学中是重要的靶标,因此这项工作有助于设计可以与酶明显结合的新型配体。

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