Identification of Novel PBP2B Protein Inhibitors against Streptococcus pneumoniae in Marine Natural Products using an In-Silico Approach

IF 0.5 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2024-08-12 DOI:10.2174/0115701646320388240805064243
Karthickeyan Chandrasekar, Parthasarathy Subbiah
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Abstract

Background: The aim of this research is to identify marine natural compounds derived from green, red, and brown algae that might possibly inhibit the Penicillin-Binding Proteins (PBPs) protein, which is responsible for the development of antibiotic resistance in Streptococcus pneumoniae (mutated resistant 5204-PBP2B strain). We obtained this by using virtual screening and molecular docking. In AutoDock Vina and the Schrodinger suite software, we screened a library of marine natural chemicals and discovered four intriguing candidates that had strong binding affinities to the active region of the PBPs protein. Based on our findings, four naturally occurring marine chemicals show great promise as new inhibitors of S. pneumoniae 5204-PBP2B protein. These discoveries reveal important new information on the potential application of marine natural products as a source of new drugs to combat antibiotic resistance in Streptococcus pneumoniae and other bacterial infections. Methods: The 3318 compounds in the Comprehensive Marine Natural Products Database (CMNPD) derived from green algae (293 compounds), brown algae (1212 compounds) and red algae (1813 compounds) were taken into consideration for this study. Through virtual screening and molecular docking investigations, we found the optimum compounds for the Penicillin-Binding Proteins (PBPs) protein in Streptococcus pneumoniae. Utilizing AutoDock Vina and Schrodinger Suite software, the 5204-PBP2B protein selected for this investigation was examined. The structure and binding interaction have been displayed using PyMOL software. Results: Through virtual screening and molecular docking investigations for the 5204-PBP2B protein in Streptococcus pneumoniae, we were able to identify four marine natural products that are present in brown algae from the Comprehensive Marine Natural Products Database. Conclusion: The study has indicated that the main cause of bacterial resistance to antibiotics is 5204-PBP2B in S. pneumoniae. This study's methodology has been shown to be effective in identifying four strong inhibitors of the CMNPD. In this work, potent molecules from CMNPD compounds were screened using the 3D structure of mutated resistant 5204 strain, named 5204- PBP2B (PDB ID: 2WAE) of S. pneumoniae. Out of 3318 compounds that showed strong interactions with PBP2B, docking studies revealed that four of the compounds were inhibitory for the protein and could be used to treat PBP2B. These four marine products were selected as a result of our earlier research on Klebsiella pneumonia’s New Delhi metallo-β-lactamase-1 (NDM-1) protein. This study thus reveals the importance of marine natural products for improving the drug development process, as well as the ability of four marine products generated from brown algae to inhibit both the NDM-1 protein of Klebsiella pneumoniae and the 5204-PBP2B protein in Streptococcus pneumoniae. It is also possible to expand this approach by investigating how different receptor inhibitors interact in a lab setting. Potential inhibitors can be discovered by evaluating the biological activity of the drugs and applying virtual screening and molecular docking techniques.
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利用硅学方法从海洋天然产品中鉴定抗肺炎链球菌的新型 PBP2B 蛋白抑制剂
研究背景:本研究的目的是找出从绿藻、红藻和褐藻中提取的海洋天然化合物,这些化合物可能会抑制青霉素结合蛋白(PBPs),而青霉素结合蛋白是肺炎链球菌(变异抗药性 5204-PBP2B 菌株)产生抗生素耐药性的罪魁祸首。我们通过虚拟筛选和分子对接获得了这一结果。在 AutoDock Vina 和 Schrodinger suite 软件中,我们对海洋天然化学物质库进行了筛选,发现了四种与 PBPs 蛋白活性区有强结合亲和力的有趣候选物质。根据我们的发现,四种天然海洋化学物质有望成为肺炎双球菌 5204-PBP2B 蛋白的新抑制剂。这些发现揭示了海洋天然产物作为新药来源的潜在应用方面的重要新信息,可用于对抗肺炎链球菌和其他细菌感染的抗生素耐药性。研究方法本研究参考了海洋天然产物综合数据库(CMNPD)中的 3318 个化合物,这些化合物分别来自绿藻(293 个化合物)、褐藻(1212 个化合物)和红藻(1813 个化合物)。通过虚拟筛选和分子对接研究,我们找到了肺炎链球菌青霉素结合蛋白(PBPs)蛋白的最佳化合物。利用 AutoDock Vina 和 Schrodinger Suite 软件,我们对本次研究选择的 5204-PBP2B 蛋白进行了研究。利用 PyMOL 软件显示了结构和结合相互作用。研究结果通过对肺炎链球菌中的 5204-PBP2B 蛋白进行虚拟筛选和分子对接研究,我们从海洋天然产物综合数据库中发现了四种存在于褐藻中的海洋天然产物。结论研究表明,肺炎链球菌对抗生素产生耐药性的主要原因是 5204-PBP2B。这项研究的方法已被证明能有效识别四种 CMNPD 的强抑制剂。在这项工作中,利用肺炎双球菌变异抗药性 5204 菌株(名为 5204-PBP2B,PDB ID:2WAE)的三维结构,从 CMNPD 化合物中筛选出了强效分子。在 3318 种与 PBP2B 有强烈相互作用的化合物中,对接研究发现其中四种化合物对该蛋白有抑制作用,可用于治疗 PBP2B。这四种海产品是我们早先对肺炎克雷伯氏菌的新德里金属-β-内酰胺酶-1(NDM-1)蛋白进行研究的结果。因此,这项研究揭示了海洋天然产品对改进药物开发过程的重要性,以及从褐藻中提取的四种海洋产品对肺炎克雷伯菌的 NDM-1 蛋白和肺炎链球菌的 5204-PBP2B 蛋白的抑制能力。还可以通过研究不同受体抑制剂在实验室环境中如何相互作用来扩展这种方法。通过评估药物的生物活性以及应用虚拟筛选和分子对接技术,可以发现潜在的抑制剂。
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来源期刊
Current Proteomics
Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍: Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.
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