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. 2025 Oct 1;111(10):7467-7468.
doi: 10.1097/JS9.0000000000002855. Epub 2025 Jun 27.

Letter to Editor: "Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma"

Affiliations

Letter to Editor: "Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma"

Xiong Teng et al. Int J Surg. .
No abstract available

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Conflict of interest statement

The author declares no conflict of interest.

References

    1. Gao J, Zhang M, Chen Q, et al. Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma. Int J Surg. Published online ahead of print. : doi: 10.1097/JS9.0000000000002455. - DOI - PubMed
    1. Liu ZM, Li LQ, Peng MH, et al. Hepatitis B virus infection contributes to oxidative stress in a population exposed to aflatoxin B1 and high-risk for hepatocellular carcinoma. Cancer Lett 2008;263:212–22. - PMC - PubMed
    1. Han C, Yu T, Qin W, et al. Genome-wide association study of the TP53 R249S mutation in hepatocellular carcinoma with aflatoxin B1 exposure and infection with hepatitis B virus. J Gastrointest Oncol 2020;11:1333–49. - PMC - PubMed
    1. Del Giudice G, Serra A, Pavel A, et al. A network toxicology approach for mechanistic modelling of nanomaterial hazard and adverse outcomes. Adv Sci (Weinh) 2024;11:e2400389. - PMC - PubMed
    1. Agha RA, Mathew G, Rashid R, et al. Transparency In The Reporting of Artificial INtelligence–the TITAN guideline. Methods 2025;1:2.

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