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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.

journal_name

J Chem Inf Model

journal_title

Journal of chemical information and modeling

authors

Kobayashi M,Kinjo T,Koseki Y,Bourne CR,Barrow WW,Aoki S

doi

10.1021/ci400686d

subject

Has Abstract

pub_date

2014-04-28 00:00:00

pages

1242-53

issue

4

eissn

1549-9596

issn

1549-960X

journal_volume

54

pub_type

杂志文章

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