Molecular Docking of Anti Helicobacter pylori Antibiotics and Proton Pump Inhibitor: A Single Center Survey

Helicobacter pylorus (H. pylori) is a deadly bacterium responsible for significant worldwide Gastric Cancer (GC) related mortality. The present study aimed to screen all the anti-microbial drugs used to eradicate H .pylori infection and to identify the most efficient drug by using computational methods through molecular docking analysis. The 3-D structure of protein chorismate synthase of H. pylori was downloaded from the Protein data bank (PDB) online browser. The x-ray crystallography structures of 13 common drugs used against H.pylori infection were also downloaded from the drug bank. We screened all 13 common drugs through molecular docking to know the most efficient binding interaction between the diverse ligand-protein complexes. The results were further compared with clinical survey data from the patients with diverse gastrointestinal H. pylori infected cases. Among the screened compounds, by in-silico approach we found that fluoroquinolone (FLRQ) and tetracycline (TET) manifested more significant interactions with chorismate synthase (CS) protein along with binding energies of-9.2 and-8.1 kcal/mole respectively. Further, the drugs were also corroborated with the survey data from patients with varied gastrointestinal disorders in our study. With this computational study, we could find FLRQ and TET may be the most efficient drug for H. pylori treatment, which can be tried in case of anti H. Pylori treatment failure due to resistance. Hence, effective inter-analysis between the experimental and computational approaches is crucial to build up a strong inhibitor.

Automated summary

In this study, computational methods were used to screen anti-microbial drugs for H. pylori infection, with FLRQ and TET identified as potentially the most efficient. These findings were further validated with clinical survey data, emphasizing the importance of effective inter-analysis between experimental and computational approaches for developing strong inhibitors.