Atomic Ga Site Enables Photonanozymes with Specific Inhibition Modes for Primary Drug Screening.

Journal: Analytical chemistry
Published Date:

Abstract

Enzyme inhibition plays a crucial role in drug discovery by governing interactions between molecules and distinct enzymatic sites, facilitating the identification of early drug candidates. However, most nanozymes have been limited to single active site inhibition models, leaving gaps in understanding inhibitor interactions and their dynamic modulation by external stimuli. Hence, an in-depth understanding of nanozyme inhibition across different functional domains, particularly under external stimuli like light irradiation, remains challenging. Herein, we report a carbon nitride photonanozyme with atomically dispersed Ga-N-coupled cyano sites (Ga-CN) for analyzing and screening antithyroid drugs via photoregulated inhibition modes. Ga sites modulate the electronic structure of cyano sites, enhancing photoinduced charge separation and synergistically boosting peroxidase-like activity. Inhibition kinetics reveal that thiol-containing drugs exhibit distinct mixed inhibition modes by targeting different active sites, with inhibition markedly enhanced under light. Leveraging these differential inhibition patterns, we developed a Ga-CN-based sensor array, integrating machine learning for precise antithyroid drug screening, facilitating early drug discovery.

Authors

  • Jian Li
    Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
  • Yu Wu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Wenxuan Jiang
    State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P.R. China.
  • Weiqing Xu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Ying Zhou
    Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Xin Yu
    eSep Inc., Keihanna Open Innovation Center @ Kyoto (KICK), Annex 320, 7-5-1, Seikadai, Seika-cho, Soraku-gun, Kyoto 619-0238, Japan.
  • Yiwei Qiu
    State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P.R. China.
  • Yifei Chen
    Department of Computer Science and Center for Complex Biological Systems, University of California, Irvine, CA 92697, USA.
  • Liuyong Hu
    Hubei Key Laboratory of Plasma Chemistry and Advanced Materials, Hubei Engineering Technology Research Center of Optoelectronic and New Energy Materials, Wuhan Institute of Technology, Wuhan 430205, P. R. China.
  • Lirong Zheng
  • Wenling Gu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China.
  • Chengzhou Zhu
    Key Laboratory of Pesticide and Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan, 430079, People's Republic of China. czzhu@mail.ccnu.edu.cn.