Core proteomics

  • 文章类型: Journal Article
    沙门氏菌亚种。enterica(SE)在发达国家和发展中国家都面临着重大的全球卫生挑战。目前的SE疫苗有局限性,针对特定菌株,并在成人中表现出中等疗效,同时也不适合幼儿,并且在疾病流行的收入水平较低的地区通常负担不起。为了应对这些挑战,这项研究采用了一种整合核心蛋白质组学的计算方法,消减蛋白质组学,和免疫信息学来开发通用的SE疫苗并确定潜在的药物靶标。对185个SE菌株的核心蛋白质组的分析揭示了1964个保守的蛋白质。消减蛋白质组学将9种蛋白质鉴定为潜在的疫苗候选物,将41种蛋白质鉴定为新的药物靶标。使用基于反向疫苗学的免疫信息学,设计了四种基于多表位的亚单位疫苗构建体(MESVC),旨在刺激细胞毒性T淋巴细胞,辅助性T淋巴细胞,和线性B淋巴细胞反应。这些构建体进行了抗原性的全面评估,免疫原性,毒性,亲水性,和物理化学性质。预测建模,精致,并进行验证以确定SE-MESVC的二级和三级结构,其次是与MHC-I的对接研究,MHC-II,和TLR4受体。分子对接评估显示与所有三种受体的良好结合,SE-MESVC-4表现出最有希望的结合能。分子动力学模拟证实了SE-MESVC-4与TLR4/MD2复合物的结合亲和力和稳定性。此外,密码子优化和计算机克隆验证了SE-MESVC-4在大肠杆菌中的有效翻译和成功表达(E.大肠杆菌)str.K12随后的计算机模拟免疫模拟评估了SE-MESVC-4在触发有效免疫应答中的功效。这些结果表明,SE-MESVC-4可以诱导体液和细胞免疫反应,使其成为有效SE疫苗的潜在候选者。然而,需要进一步的实验研究来验证SE-MESVC-4的免疫原性和功效,使我们更接近有效对抗SE感染.
    Salmonella subsp. enterica (SE) presents a significant global health challenge in both developed and developing countries. Current SE vaccines have limitations, targeting specific strains and demonstrating moderate efficacy in adults, while also being unsuitable for young children and often unaffordable in regions with lower income levels where the disease is prevalent. To address these challenges, this study employed a computational approach integrating core proteomics, subtractive proteomics, and immunoinformatics to develop a universal SE vaccine and identify potential drug targets. Analysis of the core proteome of 185 SE strains revealed 1964 conserved proteins. Subtractive proteomics identified 9 proteins as potential vaccine candidates and 41 as novel drug targets. Using reverse vaccinology-based immunoinformatics, four multi-epitope-based subunit vaccine constructs (MESVCs) were designed, aiming to stimulate cytotoxic T lymphocyte, helper T lymphocyte, and linear B lymphocyte responses. These constructs underwent comprehensive evaluations for antigenicity, immunogenicity, toxicity, hydropathicity, and physicochemical properties. Predictive modeling, refinement, and validation were conducted to determine the secondary and tertiary structures of the SE-MESVCs, followed by docking studies with MHC-I, MHC-II, and TLR4 receptors. Molecular docking assessments showed favorable binding with all three receptors, with SE-MESVC-4 exhibiting the most promising binding energy. Molecular dynamics simulations confirmed the binding affinity and stability of SE-MESVC-4 with the TLR4/MD2 complex. Additionally, codon optimization and in silico cloning verified the efficient translation and successful expression of SE-MESVC-4 in Escherichia coli (E. coli) str. K12. Subsequent in silico immune simulation evaluated the efficacy of SE-MESVC-4 in triggering an effective immune response. These results suggest that SE-MESVC-4 may induce both humoral and cellular immune responses, making it a potential candidate for an effective SE vaccine. However, further experimental investigations are necessary to validate the immunogenicity and efficacy of SE-MESVC-4, bringing us closer to effectively combating SE infections.
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  • 文章类型: Journal Article
    溶胆链球菌(Sg)是一种非活动性的,引起感染性心内膜炎(心脏内膜炎症)的革兰氏阳性细菌。因为Sg已经对现有的抗生素产生了耐药性,而且目前还没有可用的药物,开发有效的抗Sg药物至关重要。这项研究将核心蛋白质组学与减法蛋白质组学技术相结合,以确定Sg的潜在治疗靶标。几种生物信息学方法用于从细菌蛋白质组中消除非必需和人类特异性同源序列。然后,毒力,可药用性,亚细胞定位,并进行了功能分析,以指定重要的细菌蛋白质在各种细胞过程中的参与。病原体的基因组含有三种可药用蛋白质,氨基葡萄糖-1磷酸N-乙酰转移酶(GlmU),RNA聚合酶σ因子(RpoD),泛茶磷酸腺苷酰转移酶(PPAT)可以作为开发新药的有效靶标。通过瑞士模型对靶蛋白的3D结构进行建模。将含有来自LOTUS数据库的10,000个分子的天然产物库与治疗性靶蛋白对接。在使用滑翔gscore评估对接结果之后,选择了与每种蛋白质受体对接的前10种化合物。LTS001632,LTS0243441和LTS0236112是对GlmU表现出最高结合亲和力的化合物,PPAT,还有RpoD,分别,在选择的化合物中。为了增加对接数据,还利用了分子动力学模拟和MM-GBSA结合自由能。需要更多的体外研究将这些可能的抑制剂转化为治疗药物,尽管这项研究采用了计算机验证。这种计算技术的结合为靶向抗生素的开发铺平了道路,这解决了对针对胆溶菌感染的新治疗策略的关键需求。
    Streptococcus gallolyticus (Sg) is a non-motile, gram-positive bacterium that causes infective endocarditis (inflammation of the heart lining). Because Sg has gained resistance to existing antibiotics and there is currently no drug available, developing effective anti-Sg drugs is critical. This study combined core proteomics with a subtractive proteomics technique to identify potential therapeutic targets for Sg. Several bioinformatics approaches were used to eliminate non-essential and human-specific homologous sequences from the bacterial proteome. Then, virulence, druggability, subcellular localization, and functional analyses were carried out to specify the participation of significant bacterial proteins in various cellular processes. The pathogen\'s genome contained three druggable proteins, glucosamine-1phosphate N-acetyltransferase (GlmU), RNA polymerase sigma factor (RpoD), and pantetheine-phosphate adenylyltransferase (PPAT) which could serve as effective targets for developing novel drugs. 3D structures of target protein were modeled through Swiss Model. A natural product library containing 10,000 molecules from the LOTUS database was docked against therapeutic target proteins. Following an evaluation of the docking results using the glide gscore, the top 10 compounds docked against each protein receptor were chosen. LTS001632, LTS0243441, and LTS0236112 were the compounds that exhibited the highest binding affinities against GlmU, PPAT, and RpoD, respectively, among the compounds that were chosen. To augment the docking data, molecular dynamics simulations and MM-GBSA binding free energy were also utilized. More in-vitro research is necessary to transform these possible inhibitors into therapeutic drugs, though computer validations were employed in this study. This combination of computational techniques paves the way for targeted antibiotic development, which addresses the critical need for new therapeutic strategies against S. gallolyticus infections.
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