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利用分子动力学优化用于抗凝血剂磺达肝癸钠计算机辅助设计的聚合物解毒剂静电模型。

Use of Molecular Dynamics for the Refinement of an Electrostatic Model for the In Silico Design of a Polymer Antidote for the Anticoagulant Fondaparinux.

作者信息

Cajiao Adriana, Kwok Ezra, Gopaluni Bhushan, Kizhakkedathu Jayachandran N

机构信息

University of British Columbia, Chemical and Biological Engineering, 2360 East Mall, Vancouver, BC, Canada V6T 1Z3.

University of British Columbia, Centre for Blood Research, Department of Pathology and Laboratory Medicine and Department of Chemistry, 2350 Health Sciences Mall, Vancouver, BC, Canada V6T 1Z3.

出版信息

J Med Eng. 2013;2013:487387. doi: 10.1155/2013/487387. Epub 2013 Jul 24.

Abstract

Molecular dynamics (MD) simulations results are herein incorporated into an electrostatic model used to determine the structure of an effective polymer-based antidote to the anticoagulant fondaparinux. In silico data for the polymer or its cationic binding groups has not, up to now, been available, and experimental data on the structure of the polymer-fondaparinux complex is extremely limited. Consequently, the task of optimizing the polymer structure is a daunting challenge. MD simulations provided a means to gain microscopic information on the interactions of the binding groups and fondaparinux that would have otherwise been inaccessible. This was used to refine the electrostatic model and improve the quantitative model predictions of binding affinity. Once refined, the model provided guidelines to improve electrostatic forces between candidate polymers and fondaparinux in order to increase association rate constants.

摘要

分子动力学(MD)模拟结果已被纳入一个静电模型,该模型用于确定一种有效的基于聚合物的抗凝血剂——磺达肝癸钠解毒剂的结构。到目前为止,尚未获得关于该聚合物或其阳离子结合基团的计算机模拟数据,并且关于聚合物-磺达肝癸钠复合物结构的实验数据极为有限。因此,优化聚合物结构的任务是一项艰巨的挑战。MD模拟提供了一种手段,以获取关于结合基团与磺达肝癸钠相互作用的微观信息,否则这些信息将无法获得。这被用于完善静电模型并改进结合亲和力的定量模型预测。一旦完善,该模型为改善候选聚合物与磺达肝癸钠之间的静电力提供了指导方针,以提高缔合速率常数。

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