基于生理学的药代动力学模型
运输机
药品
性情
药理学
范围(计算机科学)
计算生物学
医学
药代动力学
计算机科学
心理学
化学
生物
生物化学
社会心理学
基因
程序设计语言
作者
Paresh P. Chothe,Upendra A. Argikar,Pallabi Mitra,Masanori Nakakariya,Diane Ramsden,Charles J. Rotter,Zubida M. Al‐Majdoub,Kimio Tohyama
标识
DOI:10.1080/03602532.2024.2399523
摘要
Drug transporter field is rapidly evolving with significant progress in in vitro and in vivo tools and, computational models to assess transporter-mediated drug disposition and drug-drug interactions (DDIs) in humans. On behalf of all co-authors, I am pleased to share the fourth annual review highlighting articles published and deemed influential in the field of drug transporters in the year 2023. Each co-author independently selected peer-reviewed articles published or available online in the year 2023 and summarized them as shown previously (Chothe et al. 2021; Chothe et al. 2022, 2023) with unbiased perspectives. Based on selected articles, this review was categorized into four sections: 1) transporter structure and in vitro evaluation, 2) novel in vitro/ex vivo models, 3) endogenous biomarkers, and 4) PBPK modeling for evaluating transporter DDIs (Table 1). As the scope of this review is not to comprehensively review each article, readers are encouraged to consult original paper for specific details. Finally, I appreciate all the authors for their time and continued support in writing this review.
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