< Terug naar vorige pagina

Publicatie

Effective Small Molecule Antibacterials from a Novel Anti-Protein Secretion Screen

Tijdschriftbijdrage - Tijdschriftartikel

The increasing problem of bacterial resistance to antibiotics underscores the urgent need for new antibacterials. Protein export pathways are attractive potential targets. The Sec pathway is essential for bacterial viability and includes components that are absent from eukaryotes. Here, we used a new high-throughput videoscreen based on the secretion and activity of alkaline phosphatase(PhoA), a Sec-dependent secreted enzyme that becomes active in the periplasm. The assay was optimized for a luminescence-based substrate and was used to screen a ~240K small molecule compound library. After hit confirmation and analoging, 14 HTS secretion inhibitors (HSI), belonging to eight structural classes, were identified with IC50< 60μM. The inhibitors were evaluated as antibacterials against 19 Gram-negative and Gram-positive bacterial species (including those from the WHO’s top pathogens list). Seven of them—HSI#6, 9; HSI#1, 5, 10; and HSI#12, 14—representing three structural families, were bacteriocidal. HSI#6 was the most potent hit against 13 species of both gram-negative and Gram-positive bacteria with IC50of 0.4 to 8.7μM. HSI#1, 5, 9 and 10 inhibited the viability of Gram-positive bacteria with IC50~6.9–77.8μM. HSI#9, 12, and 14 inhibited the viability of E. coli strains with IC50< 65μM. Moreover, HSI#1, 5 and 10 inhibited the viability of an E. coli strain missing TolC to improve permeability with IC504 to 14μM, indicating their inability to penetrate the outer membrane. The antimicrobial activity was not related to the inhibition of the SecA component of the translocase in vitro, and hence, HSI molecules may target new unknown components that directly or indirectly affect protein secretion. The results provided proof of the principle that the new broad HTS approach can yield attractive nanomolar inhibitors that have potential as new starting compounds for optimization to derive potential antibiotics.
Tijdschrift: Microorganisms
Issue: 3
Volume: 9
Aantal pagina's: 17
Jaar van publicatie:2021
Toegankelijkheid:Open