In silico validation of the non‐antibiotic drugs acetaminophen and ibuprofen as antibacterial agents against red complex pathogens

Acetaminophen (APAP) and ibuprofen (IB) are drugs commonly used to alleviate pain due to their anti-inflammatory, anti-pyretic, and analgesic effect. The aim of the present study is to unravel the molecular mechanisms underlying the antimicrobial potential of these two drugs against red complex pathogens, namely, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia, by using in silico tools, since they are potentially associated with inflammatory conditions related to periodontal infections.

The STITCH v5.0 pipeline was primarily used for identifying drug-protein interactions; VirulentPred and VICMPred were used for elucidating the virulence property and functional class of the proteins. The subcellular localization of virulent proteins was assessed using PSORTb v3.0 and the epitopes were identified using BepiPred v1.0 Linear Epitope Prediction tool.