通过同源建模分析流感嗜血杆菌蛋白的三维结构有助于预测底物的结合位点,从而设计抗生素。

Rehana Rasool, Maria Shafiq, Samina Swati, Anila Farid, Sofia Shoukat, Madeeha Jadoon
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引用次数: 0

摘要

背景:众所周知,流感嗜血杆菌一直是全世界儿童健康不良的根源。在引入疫苗之前,流感嗜血杆菌仍然是众所周知的脓毒性关节炎、肺炎和会厌炎的主要来源。流感嗜血杆菌、脑膜炎奈瑟菌和肺炎葡萄球菌通过呼吸道飞沫传播,引起脑膜炎、肺炎和其他与呼吸道疾病有关的继发感染等疾病。目的通过同源性建模分析流感嗜血杆菌蛋白的三维结构,设计抗生素。方法:为了有效研究蛋白质,采用计算工具研究蛋白质结构和功能,综合微生物资源(Comprehensive microbial resource, CMR)进行比较建模,Interproscan、BLAST进行序列相似性搜索,modeleller 9.10进行同源性建模,Procheck和protein structure Analysis (ProSA)软件评估模型质量和结构验证。结果:模型显示它由3个α螺旋(红色)和1个β薄片组成。Ramachandran Plot统计表明,97.4%的碎屑位于有利区域,0%位于附加允许区域,2.65%位于一般允许区域,0%位于不允许区域。通过ProSa检查了稳定性和能量。Z分数为高度负,表明模型高度稳定。负值越大,模型的稳定性越强。结论:筛选到细胞分裂蛋白H11025。该结构的建模提供了设计抗生素所需的所有信息,以控制对该蛋白质的有害影响。
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ANALYSIS OF 3D STRUCTURE OF THE PROTEIN OF HAEMOPHILUS INFLUENZAE BY HOMOLOGY MODELLING HELPS IN PREDICTING BINDING SITES FOR SUBSTRATE, LEADS TO DESIGN ANTIBIOTIC.

Background: Haemophilus influenza persists as a well-known root of ill health in children throughout the entire world. Before the introduction of the vaccine, Haemophilus influenza remained a well-known and eminent source of septic arthritis, pneumonia, and epiglottitis. Haemophilus influenza, Neisseria meningitides, and staphylococcus pneumonia spreads through respiratory droplets and cause diseases such as meningitis, pneumonia, and other secondary infections related to respiratory diseases. Objective was to analyze the 3D structure of the protein of Haemophilus influenzae by homology modelling to design antibiotics.

Methods: For the effective study of protein, computational tools were used to investigate protein structure and function, Comprehensive microbial resource (CMR) for comparative modelling, Interproscan, BLAST for sequence similarity searching, MODELLER 9.10 for homology modeling, Procheck and Protein Structure Analysis (ProSA) software for assessing model quality and structural validation.

Results: The model showed that it consists of three alpha helices (red) and one beta-sheet. Ramachandran Plot statistics show that 97.4% of the debris is in the favoured region, 0% in the additional allowed region, 2.65% in the generally allowed part, and 0% in the disallowed part. Stability and energy were checked through ProSa. Z score was highly negative which showed that the model is highly stable. The greater the negative value, the more will be the stability of the model.

Conclusions: Cell division protein H11025 was selected. The structure was modelled which has provided all the required information to design antibiotics to control the harmful effects regarding that protein.

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