2022
DOI: 10.1007/s00894-022-05132-9
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Discovery of novel targets and mechanisms of MEK inhibitor Selumetinib for LGG treatment based on molecular docking and molecular dynamics simulation

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Cited by 3 publications
(1 citation statement)
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“…In our previous research, we observed that compounds 3, 3e, and 4 demonstrated broad-spectrum antibacterial activity against four strains of Gram-negative bacteria (Pseudomonas aeruginosa, Klebsiella pneumoniae, Salmonella spp., and Escherichia coli), one strain of Gram-positive bacteria (Staphylococcus aureus), and a fungal strain (Candida albicans). Therefore, in light of this characteristic, the present study employed the Swiss Target Prediction database (http://swisstargetprediction.ch, accessed on 19 July 2023) using the following chemical structures as input, respectively [7]: SMILES code of compound 3, compound 4, and compound 3e. These compounds were used as keywords to predict potential drug targets the three clarithromycin derivatives.…”
Section: Screening Of Clindamycin Targetsmentioning
confidence: 99%
“…In our previous research, we observed that compounds 3, 3e, and 4 demonstrated broad-spectrum antibacterial activity against four strains of Gram-negative bacteria (Pseudomonas aeruginosa, Klebsiella pneumoniae, Salmonella spp., and Escherichia coli), one strain of Gram-positive bacteria (Staphylococcus aureus), and a fungal strain (Candida albicans). Therefore, in light of this characteristic, the present study employed the Swiss Target Prediction database (http://swisstargetprediction.ch, accessed on 19 July 2023) using the following chemical structures as input, respectively [7]: SMILES code of compound 3, compound 4, and compound 3e. These compounds were used as keywords to predict potential drug targets the three clarithromycin derivatives.…”
Section: Screening Of Clindamycin Targetsmentioning
confidence: 99%