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Systems-level integration of machine learning, SHAP explainability, PCA, and network topology reveals multitarget protective actions of tannic acid against doxorubicin toxicity in pentose phosphate pathway

Crossref DOI link: https://doi.org/10.1007/s00210-026-05236-6

Published Online: 2026-03-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Altunbilek, Betül

Kizir, Duygu

Karaman, Melike

Ceylan, Hamid

Demir, Yeliz
Funding

Funding for this research was provided by:

Ardahan University
License Information

Text and Data Mining valid from 2026-03-25

Version of Record valid from 2026-03-25
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Article History

Received: 4 December 2025

Accepted: 16 March 2026

First Online: 25 March 2026

Declarations

:

: In accordance with National Institutes of Health Animal Research guidelines, animal studies were authorized by the Ataturk University Local Ethics Council for Animal studies (Protocol No. 2021/3–65).

: The authors declare no competing interests.

: Our research team utilized AI-assisted tools solely for language enhancement and readability improvement during the manuscript preparation process.

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