Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.

Journal: Journal of dermatological science
Published Date: Jul 1, 2025

Abstract

BACKGROUND: The development of medical treatments has traditionally relied on researchers leveraging scientific knowledge to hypothesize disease mechanisms and identify therapeutic agents. However, the depletion of novel therapeutic targets has become a significant challenge, resulting in stagnation within pharmaceutical research.

Authors

  • Takashi Sakai
  • Ryusuke Sawada
    Division of System Cohort, Multi-Scale Research Center for Medical Science, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan. rsawada@bioreg.kyushu-u.ac.jp.
  • Otoha Ichinose
    Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan.
  • Takeshi Terabayashi
    Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan.
  • Yutaka Hatano
    Department of Dermatology, Faculty of Medicine, Oita University, Oita, Japan.
  • Yoshihiro Yamanishi
    Division of System Cohort, Multi-Scale Research Center for Medical Science, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan. yamanishi@bioreg.kyushu-u.ac.jp.
  • Toshimasa Ishizaki
    Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan.

Keywords

External Resources

Popular Topics
Recent Journals