Analyzing the normal mode dynamics of macromolecules by the component synthesis method: Residue clustering and multiple-component approach

A study of the component synthesis method (CSM) for analyzing the normal mode dynamics of macromolecules is reported. The procedure involves a reduction of the dimensions of the normal mode problems for large molecular systems and the accurate extraction of the low-frequency modes. A macromolecule is divided into small components based on a hierarchical clustering of the residues in the structure. Interactions between coupled components are treated by the method of static correlation. The normal modes of the components are obtained first, and a fraction of the low-frequency normal modes of the components under mutual correlations are then used as a reduced basis for solving for the normal modes of the whole molecule. Multiple components are introduced for large macromolecules so that the dimensions of the eigenvalue problems at the component level are small. The method is applied to the protein crambin. In test calculations in which the dimensions of the eigenvalue equations are reduced to 1/6 of their natural size, the errors in the normal mode frequencies calculated by the CSM procedure are only about 1–2% when compared with the exact values. The rms fluctuations of all atoms in crambin calculated by the CSM procedure are basically identical to the exact results. The CSM procedure is shown to be accurate for calculating the normal modes of large macromolecules with a significant reduction of the size of the problem. © 1994 John Wiley & Sons, Inc.     

SARS-CoV-2 envelope protein causes acute respiratory distress syndrome (ARDS)-like pathological damages and constitutes an antiviral target

Cytokine storm and multi-organ failure are the main causes of SARS-CoV-2-related death. However, the origin of excessive damages caused by SARS-CoV-2 remains largely unknown. Here we show that the SARS-CoV-2 envelope (2-E) protein alone is able to cause acute respiratory distress syndrome (ARDS)-like damages in vitro and in vivo. 2-E proteins were found to form a type of pH-sensitive cation channels in bilayer lipid membranes. As observed in SARS-CoV-2-infected cells, heterologous expression of 2-E channels induced rapid cell death in various susceptible cell types and robust secretion of cytokines and chemokines in macrophages. Intravenous administration of purified 2-E protein into mice caused ARDS-like pathological damages in lung and spleen. A dominant negative mutation lowering 2-E channel activity attenuated cell death and SARS-CoV-2 production. Newly identified channel inhibitors exhibited potent anti-SARS-CoV-2 activity and excellent cell protective activity in vitro and these activities were positively correlated with inhibition of 2-E channel. Importantly, prophylactic and therapeutic administration of the channel inhibitor effectively reduced both the viral load and secretion of inflammation cytokines in lungs of SARS-CoV-2-infected transgenic mice expressing human angiotensin-converting enzyme 2 (hACE-2). Our study supports that 2-E is a promising drug target against SARS-CoV-2.Subject terms: Cell death, Molecular biology     

抑郁症易感基因和抗抑郁药物靶点相关[]神经细胞类型及相互作用网络分析

基于抑郁症的全基因组关联分析研究(GWAS),对于获得的单核苷酸多态性位点(SNP)使用Haploreg软件进行基因注释,得到SNP注释的102个易感基因.。使用MAGMA软件对GWAS的汇总统计数据做基因水平的分析,获得了270个校正之后显著的基因,两者合并共得到320个抑郁症易感基因。通过药物数据库Drugbank获取133个抗抑郁药物靶点基因。使用EWCE包对抑郁症易感基因和抗抑郁药物靶点在三套脑组织单细胞测序数据中,分别进行神经细胞类型富集分析。结果发现大脑皮质的GABA神经元(抑制性神经元)和谷氨酸能神经元(兴奋性神经元)是抑郁症易感基因和抗抑郁药物靶点共同的神经元。这两种类型的神经细胞可能是抗抑郁药物与抑郁症易感基因相互作用的神经细胞,另外少突胶质前体细胞可能是抑郁症特有的易感神经细胞。使用Network Calculator软件构建网络并进行进行网络拓扑学参数分析。结果表明抑郁症易感基因与抗抑郁药物靶点组成了一个具有显著的相互连接的网络。本研究从单细胞层面揭示抑郁症的遗传机制,在网络层面为寻找新的抗抑郁药物靶点提供了一定的启示。     

磁性聚乙二醇载体固定化α淀粉酶的研究

α淀粉酶广泛应用于粮食加工、食品、酿造、发酵、纺织品和医药工业［1］．由于固定化酶的优点,国内外研究人员对固定化糖化酶［2,3］和固定化α淀粉酶[4]的制备及在淀粉酶法生产葡萄糖方面的应用作了大量的研究,显示了工业应用前景．然而,迄今为止,用磁性载体固定化α淀粉酶尚未见报道．我们用磁性聚乙二醇胶体粒子作载体,制备出具有磁响应性强、稳定性强、活力高的固定化α淀粉酶．由于具有磁响应性,可借助外部磁场方便简单地回收酶,为该酶工业化生产葡萄糖提供了一种新的途径．而且,由于磁性的优点,也为该酶在食品、医药、纺织…     

极端酶的研究进展

极端酶具有超常的生物学稳定性,能够在极端温度、pH、压力和离子强度下表现出生物学活性,因此极端酶为生物催化和生物转化提供了良机.新的极端物种的发现、基因组序列的确定及基因工程技术的应用,加快了发现和制备新酶的进程.蛋白质工程和定向进化技术进一步改善酶的活性和特异性,促进了极端酶的工业应用.对极端酶的研究加深了人们对酶稳定性机制的理解,丰富了分子进化理论.     

谷子窄颖花突变体sins1的表型分析和突变基因定位

利用甲基磺酸乙酯(EMS,ethyl methyl sulfonate)诱变剂处理野生型Yugu1(豫谷1号),在后代中发现了一个可以稳定遗传的颖花明显变窄的突变体,将其命名为sins1。与Yugu1相比,突变体sins1的株高显著降低了3.89%,穗长和穗粗分别显著降低了17.42%和21.62%,旗叶叶长和叶宽分别显著降低了15.09%和25.78%,千粒重显著降低了40.96%,谷码数显著降低了25%,均达到显著水平(P0.05)。利用突变体sins1为母本、SSR41为父本构建F_2定位群体,F_2正常颖花与窄颖花植株数目的分离比例为3∶1,表明该突变性状由隐性单基因控制。利用F_2群体隐性单株,最终将突变基因定位在3号染色体上SSR标记3-2658与CAAS3031间约7.709 Mb的距离内,为下一步精细定位提供了基础,同时也为促进禾本科作物颖花的研究提供了方向。