4-Hydroxy-2,5-dihydrothiazole derivatives as a new class of small-molecule antibiotics for MRSA: AI-integrated design, chemical synthesis and biological evaluation.

Journal: European journal of medicinal chemistry
Published Date:

Abstract

Staphylococcus aureus (S. aureus) is one of the most concerned Gram-positive bacteria due to its resistance to the commonly used antibiotics, methicillin. To address the threat of methicillin-resistant S. aureus (MRSA), new classes of antibiotics are highly needed and artificial intelligence (AI) could accelerate antibiotic discovery. Previously, we developed a new AI-based software for the design of small-molecule antibiotics, AutoMolDesigner and had not been applied to real-world antibiotic discovery. In this study, we carried out AutoMolDesigner-based virtual screening for novel anti-S. aureus compounds, and identified a hit compound B1 (MIC: 4 μg/mL) with 4-hydroxy-2,5-dihydrothiazole as the core scaffold. From 28 derivatives synthesized and tested, we discovered compound C8 with improved antibacterial potency for MRSA (MIC: 0.5 μg/mL) and no cytotoxicity to HepG-2 and HEK293 (CC50 > 50 μM). Moreover, we performed Cheminformatics-based prediction to facilitate elucidation of molecular mechanism. As a result, inhibition of S. aureus DNA gyrase by compound C8 was computationally prioritized and experimentally validated (IC50: 0.320 ± 0.089 μM). The following exploration of several derivatives and two enantiomers separated from C8 further confirmed the mechanism. Lastly, we carried out comprehensive biological evaluation of compound C8 and discovered that it did not induce resistance of MRSA, and could effectively treat Galleria mellonella (G. mellonella) larvae and murine infected by MRSA in vivo. In conclusion, we have discovered 4-hydroxy-2,5-dihydrothiazoles, represented by compound C8, as a new class of gyrase-targeted antibiotics for the treatment of MRSA infection, through AI-integrated methods for drug discovery.

Authors

  • Rui Teng
    State Key Laboratory of Bioactive Substance and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China.
  • Gao Zhang
    State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.
  • Zunsheng Han
    State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Xueyao Li
    Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China.
  • Jing Pang
    Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Song Wu
    National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
  • Jie Xia
    Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences & Technology, Wuhan, People's Republic of China.