Jayaraman Manikandan, Gosu Vijayakumar, Kumar Rajalakshmi, Jeyaraman Jeyakanthan, Lee Hak-Kyo, Shin Donghyun
Structural Biology and Bio-Computing Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi, Tamil Nadu, India.
Department of Animal Biotechnology, Jeonbuk National University, Jeonju, Republic of Korea.
PLoS One. 2025 Mar 28;20(3):e0319352. doi: 10.1371/journal.pone.0319352. eCollection 2025.
Antibiotic resistance is a critical global health issue, and Pseudomonas aeruginosa is a particularly challenging pathogen. This gram-negative bacterium is notorious for its high virulence and resistance to antimicrobial agents, making it a leading cause of nosocomial infections, significantly impacting public health. The adaptability and multidrug resistance of P. aeruginosa exacerbate treatment difficulties, resulting in increased morbidity and mortality rates worldwide. Consequently, targeting bacterial quorum sensing (QS) systems is a promising strategy for the development of novel antimicrobial compounds against this resilient pathogen. In this study, a structure-based virtual screening (SBVS) approach was employed to identify marine natural products (MNPs) as potential lead molecules targeting the biofilm-forming PqsR protein of P. aeruginosa. A total of ~37,000 MNPs were initially evaluated and ranked based on docking scores using high-throughput virtual screening (HTVS), Standard Precision (SP), and Extra Precision (XP) methods. Ten lead molecules (five from the CMNPD database and five from the MNPD database) were shortlisted based on their docking scores (<-10.0 kcal/mol) and binding free energy values (MM-GBSA ΔG <-40 kcal/mol). Their drug-likeness profiles were assessed using stringent criteria in the QikProp module of Schrödinger, and their chemical reactivity was evaluated through density functional theory (DFT) calculations. The structural and energetic interactions between the identified MNPs and the PqsR-binding pocket were validated through molecular dynamics simulations (MDS) and binding free energy (BFE) calculations. Structural dynamic analyses revealed that the MNP-bound PqsR complexes demonstrated stable interactions within the binding pocket, with hydrophobic residues such as L208, I236, and I263 playing a crucial role in maintaining stability. Among the identified MNPs, CMNPD14329, CMNPD23880, MNPD13399, and MNPD13725 emerged as promising lead molecules for further research. These candidates can serve as foundations for developing structural analogs with enhanced binding affinities for PqsR and other biofilm-forming proteins. Further experimental validation is essential to confirm the therapeutic potential of these identified MNPs.
抗生素耐药性是一个关键的全球健康问题,而铜绿假单胞菌是一种特别具有挑战性的病原体。这种革兰氏阴性细菌因其高毒力和对抗菌剂的耐药性而臭名昭著,使其成为医院感染的主要原因,对公众健康产生重大影响。铜绿假单胞菌的适应性和多重耐药性加剧了治疗困难,导致全球发病率和死亡率上升。因此,针对细菌群体感应(QS)系统是开发针对这种有韧性病原体的新型抗菌化合物的一种有前景的策略。在本研究中,采用基于结构的虚拟筛选(SBVS)方法来鉴定海洋天然产物(MNP)作为针对铜绿假单胞菌生物膜形成PqsR蛋白的潜在先导分子。最初使用高通量虚拟筛选(HTVS)、标准精度(SP)和高精度(XP)方法对总共约37,000种MNP进行了评估,并根据对接分数进行排名。基于它们的对接分数(<-10.0 kcal/mol)和结合自由能值(MM-GBSA ΔG <-40 kcal/mol),筛选出了10个先导分子(5个来自CMNPD数据库,5个来自MNPD数据库)。使用薛定谔的QikProp模块中的严格标准评估了它们的类药性质,并通过密度泛函理论(DFT)计算评估了它们的化学反应性。通过分子动力学模拟(MDS)和结合自由能(BFE)计算验证了所鉴定的MNP与PqsR结合口袋之间的结构和能量相互作用。结构动力学分析表明,与MNP结合的PqsR复合物在结合口袋内表现出稳定的相互作用,疏水残基如L208、I236和I263在维持稳定性方面起着关键作用。在所鉴定的MNP中,CMNPD14329、CMNPD23880、MNPD13399和MNPD13725成为有前景的进一步研究的先导分子。这些候选物可为开发对PqsR和其他生物膜形成蛋白具有增强结合亲和力的结构类似物奠定基础。进一步的实验验证对于确认这些所鉴定的MNP的治疗潜力至关重要。