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首页> 外文期刊>WSEAS Transactions on Computers >Evaluation for interaction energy between glutamine and various chemical compounds for developing the virtual screening system using DFT quantum chemical calculations
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Evaluation for interaction energy between glutamine and various chemical compounds for developing the virtual screening system using DFT quantum chemical calculations

机译:使用DFT量子化学计算评估谷氨酰胺与各种化合物之间的相互作用能以开发虚拟筛选系统

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摘要

Polyglutamine (polyQ) diseases, including Huntington's disease (HD), are caused by expansion of polyQ-encoding repeats within otherwise unrelated gene products. The quantum chemical calculations revealed the following. The effective molecular interaction is between glutamine (Gln) and Gln (Gln+Gln), between Gln and Congo red (Gln+Congo red), between Gln and trehalose (Gln+trehalose), between Gln and glucose (Gln+glucose), between Gln and mannose (Gln+mannose) and between Gln and melbiose (Gln+melbiose). These obtained interaction strengths are good agreement with the experimental results of inhibitor and alleviator for polyQ aggregation. Based on our results, we propose the inhibition mechanism of Congo red, and the alleviation mechanism of trehalose. Our proposed mechanism can explain the inhibition effect by Congo red as an inhibitor of polyglutamine-induced protein aggregation and the alleviation effect by trehalose as an alleviator of that aggregation. We assume that the interaction energy of Gln+Gln is a trigger for the polyQ aggregation and discuss that an aggregation mechanism whose heat generated by the intermolecular Gln+Gln formation causes the pathogeny of polyQ disease. We developed the virtual screening system that searched for ideal inhibitor that can have polyQ aggregation blocking effect as like Congo red and crossed the blood brain barrier in addition by using our estimation method. The virtual screening system can be constructed by building this system into the massively parallel computer like IBM BlueGene/L supercomputer.
机译:包括亨廷顿舞蹈病(HD)在内的多谷氨酰胺(polyQ)疾病是由原本无关的基因产物中的polyQ编码重复序列的扩增引起的。量子化学计算揭示了以下内容。有效分子相互作用是谷氨酰胺(Gln)与Gln(Gln + Gln)之间,Gln与刚果红(Gln +刚果红)之间,Gln与海藻糖之间(Gln +海藻糖)之间,Gln与葡萄糖之间的分子相互作用(Gln +葡萄糖),在Gln和甘露糖之间(Gln +甘露糖)和在Gln和melbiose之间(Gln + melbiose)。这些获得的相互作用强度与polyQ聚合抑制剂和缓蚀剂的实验结果吻合良好。根据研究结果,我们提出了刚果红的抑制机理和海藻糖的缓解机理。我们提出的机制可以解释刚果红作为聚谷氨酰胺诱导的蛋白聚集的抑制剂的抑制作用,以及海藻糖作为该聚集的抑制剂的抑制作用。我们假设Gln + Gln的相互作用能是polyQ聚集的触发因素,并讨论了由分子间Gln + Gln形成所产生的热量引起polyQ病原的聚集机制。我们开发了一种虚拟筛选系统,它使用我们的估算方法来寻找理想的抑制剂,该抑制剂可以像刚果红一样具有polyQ聚合阻断作用,并且可以跨越血脑屏障。可以通过将该系统构建到大规模并行计算机(例如IBM BlueGene / L超级计算机)中来构建虚拟筛选系统。

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