title: Identification of novel potential antibiotics against Staphylococcus using structure-based drug screening targeting dihydrofolate reductase.
abstract: The emergence of multidrug-resistant Staphylococcus aureus (S. aureus) makes the treatment of infectious diseases in hospitals more difficult and increases the mortality of the patients. In this study, we attempted to identify novel potent antibiotic candidate compounds against S. aureus dihydrofolate reductase (saDHFR). We performed three-step in silico structure-based drug screening (SBDS) based on the crystal structure of saDHFR using a 154,118 chemical compound library. We subsequently evaluated whether candidate chemical compounds exhibited inhibitory effects on the growth of the model bacterium: Staphylococcus epidermidis (S. epidermidis). The compound KB1 showed a strong inhibitory effect on the growth of S. epidermidis. Moreover, we rescreened chemical structures similar to KB1 from a 461,397 chemical compound library. Three of the four KB1 analogs (KBS1, KBS3, and KBS4) showed inhibitory effects on the growth of S. epidermidis and enzyme inhibitory effects on saDHFR. We performed structure-activity relationship (SAR) analysis of active chemical compounds and observed a correlative relationship among the IC₅₀ values, interaction residues, and structure scaffolds. In addition, the active chemical compounds (KB1, KBS3, and KBS4) had no inhibitory effects on the growth of model enterobacteria (E. coli BL21 and JM109 strains) and no toxic effects on cultured mammalian cells (MDCK cells). Results obtained from Protein Ligand Interaction Fingerprint (PLIF) and Ligand Interaction (LI) analyses suggested that all of the active compounds exhibited potential inhibitory effects on mutated saDHFR of the drug-resistant strains. The structural and experimental information concerning these novel chemical compounds will likely contribute to the development of new antibiotics for both wild-type and drug-resistant S. aureus.
authors.affiliation: Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology , 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502, Japan.
authors.forename: Maiko
authors.initials: M
authors.lastname: Kobayashi
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Kinjo
authors.forename: Yuji
authors.initials: Y
authors.lastname: Koseki
authors.forename: Christina R
authors.initials: CR
authors.lastname: Bourne
authors.forename: William W
authors.initials: WW
authors.lastname: Barrow
authors.forename: Shunsuke
authors.initials: S
authors.lastname: Aoki
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D001419:Bacteria / Q000187:drug effects; D004354:Drug Screening Assays, Antitumor; D008826:Microbial Sensitivity Tests; D013210:Staphylococcus / Q000187:drug effects*; D013762:Tetrahydrofolate Dehydrogenase / Q000187:drug effects*
chemical_list: D000900:Anti-Bacterial Agents; D013762:Tetrahydrofolate Dehydrogenase