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Article

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

PloS one - 1 Jan 2018

Thishya Kalluri, Vattam Kiran Kumar, Naushad Shaik Mohammad, Raju Shree Bhushan, Kutala Vijay Kumar

Abstract excerpt

The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms in predicting the bioavailability of tacrolimus and the risk for post-transplant diabetes. Artificial neural network (ANN) and logistic regression (LR) models were used to predict the bioavailability of tacrolimus and risk for post-transplant diabetes, respectively. The five-fold cross-validation of ANN model...

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Share to ATP Binding Cassette Transporter, Subfamily B
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Cytochrome P-450 CYP3A

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Source

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Identifiers

PMID: 29621269
DOI: 10.1371/journal.pone.0191921
PMCID: PMC5886400

Genes

ABCB1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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