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通过基因组挖掘方法鉴定的[植物名称]次生代谢产物对超氧化物歧化酶(SOD)靶点的分子动力学和模拟分析。

Molecular dynamics and simulation analysis against superoxide dismutase (SOD) target of with secondary metabolites from recognized by genome mining approach.

作者信息

Bagewadi Zabin K, Yunus Khan T M, Gangadharappa Bhavya, Kamalapurkar Ankita, Mohamed Shamsudeen Shaik, Yaraguppi Deepak A

机构信息

Department of Biotechnology, KLE Technological University, Hubballi, Karnataka 580031, India.

Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.

出版信息

Saudi J Biol Sci. 2023 Sep;30(9):103753. doi: 10.1016/j.sjbs.2023.103753. Epub 2023 Aug 1.

Abstract

, also known as , is a bacterium that inhabits mucous membranes, human skin, and various environmental sources. It is commonly linked to infections, especially among individuals who have compromised immune systems. is capable of synthesizing the enzyme superoxide dismutase (SOD) as a component of its protective response to reactive oxygen species (ROS). This enzyme serves as a promising target for drug development in various diseases. The current study utilized a subtractive genomics approach to identify potential therapeutic targets from . Additionally, genome mining was employed to identify and characterize the biosynthetic gene clusters (BGCs) responsible for the production of secondary metabolites in (), a bacterium known for its production of therapeutically relevant secondary metabolites. Subtractive genomics resulted in identification of important extracellular protein SOD as a drug target that plays a crucial role in shielding cells from damage caused by ROS. Genome mining resulted in identification of five potential ligands (secondary metabolites) from such as, Bacillibactin (BAC), Paenibactin (PAE), Fengycin (FEN), Surfactin (SUR) and Lichenysin (LIC). Molecular docking was used to predict and analyze the binding interactions between these five ligands and target protein SOD. The resulting protein-ligand complexes were further analyzed for their motions and interactions of atoms and molecules over 250 ns using molecular dynamics (MD) simulation analysis. The analysis of MD simulations suggests, Bacillibactin as the probable candidate to arrest the activities of SOD. All the five compounds reported in this study were found to act by directly/indirectly interacting with ROS molecules, such as superoxide radicals (O-) and hydrogen peroxide (HO), and transforming them into less reactive species. This antioxidant activity contributes to its protective effects against oxidative stress-induced damage in cells making them likely candidate for various applications, including in the development of antioxidant-based therapies, nutraceuticals, and functional foods.

摘要

[细菌名称],也被称为[别名],是一种栖息于粘膜、人体皮肤及各种环境源中的细菌。它通常与感染相关,尤其是在免疫系统受损的个体中。[细菌名称]能够合成超氧化物歧化酶(SOD)作为其对活性氧(ROS)的保护反应的一部分。这种酶是多种疾病药物开发的一个有前景的靶点。当前的研究利用消减基因组学方法从[细菌名称]中鉴定潜在的治疗靶点。此外,采用基因组挖掘来鉴定和表征负责[另一细菌名称](以产生具有治疗相关性的次级代谢产物而闻名)中次级代谢产物产生的生物合成基因簇(BGCs)。消减基因组学导致鉴定出重要的细胞外蛋白SOD作为药物靶点,其在保护细胞免受ROS引起的损伤中起关键作用。基因组挖掘从[细菌名称]中鉴定出五种潜在配体(次级代谢产物),如芽孢杆菌素(BAC)、类芽孢杆菌素(PAE)、丰原素(FEN)、表面活性素(SUR)和地衣芽孢杆菌素(LIC)。分子对接用于预测和分析这五种配体与靶蛋白SOD之间的结合相互作用。使用分子动力学(MD)模拟分析对所得的蛋白质 - 配体复合物在250纳秒内的原子和分子运动及相互作用进行进一步分析。MD模拟分析表明,芽孢杆菌素是阻止SOD活性的可能候选物。本研究中报道的所有五种化合物均通过直接/间接与ROS分子(如超氧阴离子(O - )和过氧化氢(HO))相互作用并将它们转化为反应性较低的物种而起作用。这种抗氧化活性有助于其对细胞中氧化应激诱导的损伤的保护作用,使其成为各种应用的可能候选物,包括基于抗氧化剂的疗法、营养保健品和功能性食品的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c05f/10424208/0bf78e6790c0/gr1.jpg

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