虚拟筛选
化学
对接(动物)
分子动力学
抗菌剂
分子
乳酸脱氢酶
计算化学
小分子
药物发现
蛋白质-配体对接
密度泛函理论
组合化学
药物设计
立体化学
酶
生物化学
有机化学
医学
护理部
作者
Jie Xu,Jiawei Chen,Heping Xia,Yi Gong,Fei Xiong
标识
DOI:10.1002/cbdv.202403449
摘要
Due to the excessive use of antibiotics, Staphylococcus aureus has developed resistance to conventional antibiotics. This study primarily employs virtual screening methods to explore the binding mode, biological stability, electronic properties, and antimicrobial activity of the drugs. Lactate dehydrogenase (LDH) was chosen as the primary target, and virtual screening of approximately 3180 FDA-approved drugs was performed. On the basis of binding affinity scores, the top 12 molecules were shortlisted for further analysis through precise docking and MMGBSA calculations. Molecular docking simulations revealed that these compounds exhibit a strong affinity for the target protein 6BAZ, with Gliquidone demonstrating the highest binding affinity at -76.25 kcal/mol. The top three hit molecules were subjected to 100 ns molecular dynamics simulations, which confirmed the stability of the ligand-protein complexes through hydrophobic and hydrogen bonding interactions, corroborating the docking and MMGBSA findings. Density functional theory (B3LYP level, 6-31 + G (d, p) basis set) was applied to evaluate molecular geometry optimization and vibrational frequencies, offering valuable insights into the structure and stability of the drug molecules, which further supports their potential as lead compounds for LDH inhibition and establishes a strong basis for future drug development and optimization.
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