Published in
American Association for the Advancement of Science, Science Translational Medicine, 603(13), 2021
DOI: 10.1126/scitranslmed.abf3637
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Toward predicting CYP2D6-mediated variable drug response from CYP2D6 gene sequencing data
Journal article published in 2021 by
Maaike van der Lee 
,
William G. Allard,
Rolf H. A. M. Vossen,
Renée F. Baak-Pablo,
Roberta Menafra ,
Birgit A. L. M. Deiman ,
Maarten J. Deenen ,
Patrick Neven,
Inger Johansson,
Stefano Gastaldello ,
Magnus Ingelman-Sundberg,
Henk-Jan Guchelaar ,
Jesse J. Swen ,
Seyed Yahya Anvar
,
William G. Allard,
Rolf H. A. M. Vossen,
Renée F. Baak-Pablo,
Roberta Menafra ,
Birgit A. L. M. Deiman ,
Maarten J. Deenen ,
Patrick Neven,
Inger Johansson,
Stefano Gastaldello ,
Magnus Ingelman-Sundberg,
Henk-Jan Guchelaar ,
Jesse J. Swen ,
Seyed Yahya Anvar
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Abstract
A neural network model trained on full CYP2D6 gene sequences increases the ability to predict CYP2D6-mediated tamoxifen metabolism.