CSlR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, 110025, India.
Academy of Innovative and Scientific Research (AcSIR), Ghaziabad, 201002, India.
J Mol Model. 2022 Aug 30;28(9):281. doi: 10.1007/s00894-022-05289-3.
Acne vulgaris is a common skin disease affecting 80-90% of teenagers worldwide. C. acnes producing lipases are the main virulence factor that catalyzes sebum lipid into free fatty acid that is used for C. acnes growth. Recently, computational biology and bioinformatics play a significant role in drug discovery programs and the identification of novel lead(s). In this study, potential inhibitors against the C. acnes lipase have been identified via cost-effective computational investigations. Molecular docking, MD simulations, and binding affinity analysis have been performed between the active site of C. acnes lipase protein and selected natural plant constituents. First, C. acnes lipase protein was downloaded from PDB and defined the catalytically active site. Next, 16 active natural plant constituents were shortlisted from the PubChem library (based on their pharmacokinetics, pharmacodynamics, and antibacterial activity). Docking studies identified the best five active compounds that showed significantly strong binding affinity interacted through hydrogen bonding, hydrophobic interactions, and π-stacking with the active site residues of the target protein. Furthermore, a 100 ns MD simulation run showed a stable RMSD and less fluctuating RMSF graph for luteolin and neryl acetate. In silico investigation suggested that luteolin, neryl acetate, and isotretinoin were involved in stable interactions which were maintained throughout the MD run with the C. acnes lipase enzyme, virtually. The results advocated that these could potentially inhibit lipase activity and be used in the clinical management of acne.
寻常痤疮是一种常见的皮肤病,影响全球 80-90%的青少年。产脂酶的痤疮丙酸杆菌是主要的毒力因子,它能将皮脂脂质催化成游离脂肪酸,供痤疮丙酸杆菌生长。最近,计算生物学和生物信息学在药物发现计划和新型先导化合物的鉴定中发挥了重要作用。在这项研究中,通过经济有效的计算研究,鉴定了针对痤疮丙酸杆菌脂肪酶的潜在抑制剂。在 C. acnes 脂肪酶蛋白的活性部位和选定的天然植物成分之间进行了分子对接、MD 模拟和结合亲和力分析。首先,从 PDB 下载 C. acnes 脂肪酶蛋白并定义催化活性部位。接下来,从 PubChem 库中筛选出 16 种具有活性的天然植物成分(基于它们的药代动力学、药效学和抗菌活性)。对接研究确定了最好的五个活性化合物,它们通过氢键、疏水相互作用和π-堆积与靶蛋白的活性部位残基表现出显著的强结合亲和力。此外,100ns MD 模拟运行显示出芦丁和乙酸橙花酯具有稳定的 RMSD 和波动较小的 RMSF 图。计算机研究表明,芦丁、乙酸橙花酯和异维 A 酸与痤疮丙酸杆菌脂肪酶之间存在稳定的相互作用,在 MD 运行过程中几乎保持不变。结果表明,这些化合物可能具有抑制脂肪酶活性的潜力,并可用于痤疮的临床治疗。