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

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Bibliographic Details
Title: Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.
Authors: Sakai T; Department of Dermatology, Faculty of Medicine, Oita University, Oita, Japan. Electronic address: t-sakai@oita-u.ac.jp., Sawada R; Department of Pharmacology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan., Ichinose O; Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Fukuoka, Japan., Terabayashi T; Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan., Hatano Y; Department of Dermatology, Faculty of Medicine, Oita University, Oita, Japan., Yamanishi Y; Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Aichi, Japan., Ishizaki T; Department of Pharmacology, Faculty of Medicine, Oita University, Oita, Japan.
Source: Journal of dermatological science [J Dermatol Sci] 2025 Jul; Vol. 119 (1), pp. 9-17. Date of Electronic Publication: 2025 Apr 26.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9011485 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-569X (Electronic) Linking ISSN: 09231811 NLM ISO Abbreviation: J Dermatol Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-569X
DOI:10.1016/j.jdermsci.2025.04.012