Prediction of the likelihood of drug interactions with kinase inhibitors based on in vitro and computational studies

Author:

Wang Zhi-Xin1,Sun Jiazhi1,Howell Caitlin E.1,Zhou Qing-Yu1,He Zhi-Xu2,Yang Tianxin3,Chew Helen1,Duan Wei4,Zhou Zhi-Wei1,Kanwar Jagat R.5,Zhou Shu-Feng12

Affiliation:

1. Department of Pharmaceutical Sciences; College of Pharmacy; University of South Florida; Tampa FL 33612 USA

2. Guizhou Provincial Key Lab for Regenerative Medicine; Stem Cell and Tissue Engineering Research Center & Sino-US Joint Laboratory for Medical Sciences; Guiyang Medical University; Guiyang 550004 Guizhou China

3. Department of Internal Medicine; University of Utah and Salt Lake Veterans Affairs Medical Center; Salt Lake City UT 84132 USA

4. School of Medicine; Deakin University; Waurn Ponds Victoria 3217 Australia

5. Nanomedicine Laboratory of Immunology and Molecular Biomedical Research (LIMBR); School of Medicine; Deakin University; Waurn Ponds Victoria 3217 Australia

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Reference72 articles.

1. Informatics confronts drug-drug interactions;Percha;Trends Pharmacol. Sci.,2013

2. Drug interactions - principles, examples and clinical consequences;Cascorbi;Dtsch. Arztebl. Int.,2012

3. National Center for Health Statistics Health, United States, 2011: With Special Feature on Socioeconomic Status and Health 2012

4. Clinically important drug interactions potentially involving mechanism-based inhibition of cytochrome P450 3A4 and the role of therapeutic drug monitoring;Zhou;Ther. Drug Monit.,2007

5. Human cytochromes P450 in health and disease;Nebert;Philos. Trans. R. Soc. Lond. B Biol. Sci.,2013

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