YU Junlin, LI Guobo. Advances in Computer-aided Metalloenzyme-targeted Drug Discovery[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019
    Citation: YU Junlin, LI Guobo. Advances in Computer-aided Metalloenzyme-targeted Drug Discovery[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2828-2833. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.019

    Advances in Computer-aided Metalloenzyme-targeted Drug Discovery

    • Metalloenzyme is a generic term normally used for the enzymes containing functionally and/or structurally essential metal ions, which are widely involved in key physiological and pathological processes, and are a colony of important drug targets. Electronic and geometric structures of metal-binding sites usually have complicated, flexible, dynamic features, which make computer-aided drug design more challenging. This paper summarizes the research progress, strengths and challenges for metal-binding pharmacophores, structure-based drug design, and artificial intelligence used in metalloenzyme-targeted drug discovery, with the hope to provide reference and reflection for high-efficient innovative drug discovery targeting metalloenzymes.
    • loading

    Catalog

      Turn off MathJax
      Article Contents

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return