In Silico Drug Design and Molecular Docking Studies of Some Quinolone Compound
Abstract
Quinolones are an important class of heterocyclic compounds that possess interesting biological activities like antimicrobial, antitubercular, and antitumor. The objective of this study is to evaluate in silico the antitumoral and antimycobacterial activity of some quinolone derivatives by using CLC Drug Discovery Workbench Software. Docking studies were carried out for all ligands, and the docking scores were compared with the scores of standard drugs, topotecan and levofloxacin. The docking studies have been carried out to predict the most possible type of interaction, the binding affinities, and the orientations of the docked ligands at the active site of the target protein.
How strong is the evidence?
Evidence Hub reads this as a book / chapter, done in computer models (in silico), not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: a nationwide cohort study with propensity score matching
- Ferulic acid regulates the AKT/GSK-3β/CRMP-2 signaling pathway in a middle cerebral artery occlusion animal model
- Association between cord blood 25-hydroxyvitamin D concentrations and respiratory tract infections in the first 6 months of age in a Korean population: a birth cohort study (COCOA)
- Novel Pharmacokinetic/Pharmacodynamic Parameters Quantify the Exposure–Effect Relationship of Levofloxacin against Fluoroquinolone-Resistant Escherichia coli
- Neuroprotective Effects of Epicatechin against Oxidative Stress-Induced Cognitive Impairment: A Systematic Review and Meta-Analysis
- Photochemical behavior of levofloxacin
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.