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Evaluation of BCRP-Related DDIs Between Methotrexate and Cyclosporin A Using Physiologically Based Pharmacokinetic Modelling

• Authors : Stephan Schaller; Ingrid Michon; Vanessa Baier

Subjects: Methotrexate; Cyclosporine; ATP Binding Cassette Transporter, Subfamily G, Member 2

• Source: Drugs R DDrugs in R&D, Vol 25, Iss 1, Pp 1-17 (2024)

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Mechanistic Insights into Cytokine Antagonist-Drug Interactions: A Physiologically Based Pharmacokinetic Modelling Approach with Tocilizumab as a Case Study.

• Authors : Pan, Xian¹ (AUTHOR) ; Liu, Cong¹ (AUTHOR); Stader, Felix¹ (AUTHOR)

• Source: Pharmaceutics. Jul2025, Vol. 17 Issue 7, p896. 18p.

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Application of unbound liver-to-plasma concentration ratio to quantitative projection of cytochrome P450-mediated drug-drug interactions using physiologically based pharmacokinetic modelling approach.

• Authors : Iwasaki S; a Drug Metabolism and Pharmacokinetics Research Laboratories, Takeda Pharmaceutical Co., Ltd. , Fujisawa , Kanagawa , Japan.; b Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals International Co. , Cambridge , MA , USA.

Subjects: Drug Interactions* ; Pharmacokinetics*; Cytochrome P-450 Enzyme System/Cytochrome P-450 Enzyme System/Cytochrome P-450 Enzyme System/*metabolism

• Source: Xenobiotica; the fate of foreign compounds in biological systems [Xenobiotica] 2019 Nov; Vol. 49 (11), pp. 1251-1259. Date of Electronic Publication: 2019 Feb 03.Publisher: Informa Healthcare Country of Publication: England NLM ID: 1306665 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Physiologically based pharmacokinetic modelling to predict drug–drug interactions for encorafenib. Part I. Model building, validation, and prospective predictions with enzyme inhibitors, inducers, and transporter inhibitors

• Authors : Sivacharan, Kollipara; Tausif, Ahmed; Sivadasu, Praveen

Subjects: Cytochrome P-450 CYP2C19; Diltiazem; Cytochrome P-450 CYP3A Inhibitors

• Source: Xenobiotica. 53:366-381

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Application of physiologically based pharmacokinetic modelling for the prediction of drug–drug interactions involving anlotinib as a perpetrator of cytochrome P450 enzymes

• Authors : Zhiping Jin; Qingfeng He; Xiao Zhu

Subjects: 0301 basic medicine; 0303 health sciences; Indoles

• Source: Basic & Clinical Pharmacology & Toxicology. 130:592-605

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Physiologically‐Based Pharmacokinetic Modelling of Creatinine‐Drug Interactions in the Chronic Kidney Disease Population

• Authors : Daniel Scotcher; Philip A. Kalra; Rajkumar Chinnadurai

Subjects: Adult; Aged, 80 and over; Male

• Source: CPT Pharmacometrics Syst PharmacolTakita, H, Scotcher, D, Chinnadurai, R, Kalra, P & Galetin, A 2020, 'Physiologically-based Pharmacokinetic

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Prediction of Drug–Drug Interaction between Tacrolimus and Principal Ingredients of Wuzhi Capsule in Chinese Healthy Volunteers Using Physiologically‐Based Pharmacokinetic Modelling

• Authors : Weimin Cai; Fengjiao Bu; Zheng Jiao

Subjects: Male; 0301 basic medicine; China

• Source: Basic & Clinical Pharmacology & Toxicology. 122:331-340

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Population pharmacokinetic modelling to assess clinical drug-drug interaction between AZD7325 and midazolam

• Authors : Diansong Zhou; Nidal Al-Huniti; Z. Lu

Subjects: Male; Time Factors; Dose-Response Relationship, Drug

• Source: Journal of Clinical Pharmacy and Therapeutics. 39:404-410

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Physiologically based pharmacokinetic modelling andin vivo[I]/Kiaccurately predictP‐glycoprotein‐mediated drug‐drug interactions with dabigatran etexilate

• Authors : Zhe-Yi Hu; Yuan-Sheng Zhao

Subjects: Digoxin; Pyridines; Amiodarone

• Source: British Journal of Pharmacology. 171:1043-1053

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Estimation of FMO3 Ontogeny by Mechanistic Population Pharmacokinetic Modelling of Risdiplam and Its Impact on Drug-Drug Interactions in Children

• Authors : Cleary, Yumi; Kletzl, Heidemarie; Grimsey, Paul

Subjects: Adult; Infant; Humans

• Source: Cleary, Y, Kletzl, H, Grimsey, P, Heinig, K, Ogungbenro, K, Silber Baumann, H E, Frey, N, Aarons, L, Galetin, A & Gertz, M 2023, 'Estimation of FMO3 Ontogeny by Mechanistic Population

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