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Article

A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform.

International journal of molecular sciences - 4 Apr 2020

Gim Jeong-An, Kwon Yonghan, Lee Hyun A, Lee Kyeong-Ryoon, Kim Soohyun, Choi Yoonjung, Kim Yu Kyong, Lee Howard

Abstract excerpt

Tacrolimus is an immunosuppressive drug with a narrow therapeutic index and larger interindividual variability. We identified genetic variants to predict tacrolimus exposure in healthy Korean males using machine learning algorithms such as decision tree, random forest, and least absolute shrinkage and selection operator (LASSO) regression. rs776746 (CYP3A5) and rs1137115 (CYP2A6) are single nucleotide...

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Identifiers

PMID: 32260456
DOI: 10.3390/ijms21072517
PMCID: PMC7178269

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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