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Regression models were applied to verify a virtual chemical library of new imidazolidinone derivatives designed to have antibacterial activity. A number of substituted imidazolidinone sulfonamides as effective antibacterial agents were identified by QSAR prediction, synthesized and characterized by spectral and elemental, and tested <jats:italic>in\u2005vitro<\/jats:italic>. Six studied compounds have shown the highest <jats:italic>in\u2005vitro<\/jats:italic> antibacterial activity against Gram\u2010negative <jats:italic>E. coli<\/jats:italic> and Gram\u2010positive <jats:italic>S. aureus<\/jats:italic> multidrug\u2010resistant strains. The <jats:italic>in\u2005vivo<\/jats:italic> acute toxicity of these imidazolidinone sulfonamides based on the LC<jats:sub>50<\/jats:sub> value ranged from 16.01 to 44.35\u2005mg\/L (slightly toxic compounds class). 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