Identification of novel antistaphylococcal hit compounds.

Staphylococcus aureus is one of the most common nosocomial biofilm-forming pathogens worldwide that has developed resistance mechanisms against majority of the antibiotics. Therefore, the search of novel antistaphylococcal agents with unexploited mechanisms of action, especially with antibiofilm activity, is of great interest. Seryl-tRNA synthetase is recognized as a promising drug target for the development of antibacterials. We have carried out molecular docking of compounds with antistaphycoccal activity, which were earlier found by us using phenotypic screening, into synthetic site of S. aureus SerRS and found seven hit compounds with low inhibitory activity. Further, we have performed search of S. aureus SerRS inhibitors among compounds which were previously tested by us for inhibitory activity toward S. aureus ThrRS, that belong to the same class of aminoacyl-tRNA synthetases. Among them six hits were identified. We have selected four compounds for antibacterial study and found that the most active compound 1-methyl-3-(1H-imidazol-1-methyl-2-yl)-5-nitro-1H-indazole has MIC values toward S. aureus multidrug-resistant clinical isolates ranging from 78.12 to 156.2 µg/ml. However, this compound precipitated during anti-biofilm study. Therefore, we used 3-[N'-(2-hydroxy-3-methoxybenzylidene)hydrazino]-6-methyl-4H-[1,2,4]triazin-5-one with better solubility (ClogS value = 2.9) among investigated compounds toward SerRS for anti-biofilm study. It was found that this compound has a significant inhibitory effect on the growth of planktonic and biofilm culture of S. aureus 25923 with MIC value of 32 µg ml-1. At the same time, this compound does not reveal antibacterial activity toward Esherichia coli ATCC 47076. Therefore, this compound can be proposed as effective antiseptic toward multidrug-resistant biofilm-forming S. aureus isolates.

Identification of dual-targeted Mycobacterium tuberculosis aminoacyl-tRNA synthetase inhibitors using machine learning.

Background: The most serious challenge in the treatment of tuberculosis is the multidrug resistance of Mycobacterium tuberculosis to existing antibiotics. As a strategy to overcome resistance we used a multitarget drug design approach. The purpose of the work was to discover dual-targeted inhibitors of mycobacterial LeuRS and MetRS with machine learning. Methods: The artificial neural networks were built using module nnet from R 3.6.1. The inhibitory activity of compounds toward LeuRS and MetRS was investigated in aminoacylation assays. Results: Using a machine-learning approach, we identified dual-targeted inhibitors of LeuRS and MetRS among 2-(quinolin-2-ylsulfanyl)-acetamide derivatives. The most active compound inhibits MetRS and LeuRS with IC50 values of 33 µm and 23.9 µm, respectively. Conclusion: 2-(Quinolin-2-ylsulfanyl)-acetamide scaffold can be useful for further research.

Identification of novel small-molecular inhibitors of Staphylococcus aureus sortase A using hybrid virtual screening.

Staphylococcus aureus is one of the most dangerous pathogens commonly associated with high levels of morbidity and mortality. Sortase A is considered as a promising molecular target for the development of antistaphylococcal agents. Using hybrid virtual screening approach and FRET analysis, we have identified five compounds able to decrease the activity of sortase A by more than 50% at the concentration of 200 µM. The most promising compound was 2-(2-amino-3-chloro-benzoylamino)-benzoic acid which was able to inhibit S. aureus sortase A at the IC50 value of 59.7 µM. This compound was selective toward sortase A compared to other four cysteine proteases - cathepsin L, cathepsin B, rhodesain, and the SARS-CoV2 main protease. Microscale thermophoresis experiments confirmed that this compound bound sortase A with KD value of 189 µM. Antibacterial and antibiofilm assays also confirmed high specificity of the hit compound against two standard and three wild-type, S. aureus hospital infection isolates. The effect of the compound on biofilms produced by two S. aureus ATCC strains was also observed suggesting that the compound reduced biofilm formation by changing the biofilm structure and thickness.