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Computational Approaches for Predicting Drug Interactions with Human Organic Anion Transporter 4 (OAT4).

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Bibliographic Details
Title:	Computational Approaches for Predicting Drug Interactions with Human Organic Anion Transporter 4 (OAT4).
Authors:	Martinez-Guerrero L; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, 1703 E. Mabel, Tucson, Arizona 85721, United States., Vignaux PA; Collaborations Pharmaceuticals, Inc., 840 Main Campus Dr., Raleigh, North Carolina 27606, United States., Harris JS; Collaborations Pharmaceuticals, Inc., 840 Main Campus Dr., Raleigh, North Carolina 27606, United States., Lane TR; Collaborations Pharmaceuticals, Inc., 840 Main Campus Dr., Raleigh, North Carolina 27606, United States., Urbina F; Collaborations Pharmaceuticals, Inc., 840 Main Campus Dr., Raleigh, North Carolina 27606, United States., Wright SH; Department of Physiology, College of Medicine, University of Arizona, 1200 E. University Blvd., Tucson, Arizona 85724, United States., Ekins S; Collaborations Pharmaceuticals, Inc., 840 Main Campus Dr., Raleigh, North Carolina 27606, United States., Cherrington NJ; Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, 1703 E. Mabel, Tucson, Arizona 85721, United States.
Source:	Molecular pharmaceutics [Mol Pharm] 2025 Apr 07; Vol. 22 (4), pp. 1847-1858. Date of Electronic Publication: 2025 Mar 20.
Publication Type:	Journal Article; Research Support, N.I.H., Extramural
Journal Info:	Publisher: American Chemical Society Country of Publication: United States NLM ID: 101197791 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1543-8392 (Electronic) Linking ISSN: 15438384 NLM ISO Abbreviation: Mol Pharm Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1543-8392
DOI:	10.1021/acs.molpharmaceut.4c00984