Computational Molecular Biology 2025, Vol.15, No.4, 171-182 http://bioscipublisher.com/index.php/cmb 18 2 Sung M., Jeong M., Choi Y., Kim D., Lee J., and Kang, J., 2022, BERN2: an advanced neural biomedical named entity recognition and normalization tool, Bioinformatics, 38(20): 4837-4839. https://doi.org/10.1093/bioinformatics/btac598 Taneja S., Callahan T., Paine M., Kane-Gill S., Kilicoglu H., Joachimiak M., and Boyce R., 2022, Developing a knowledge graph framework for pharmacokinetic natural product-drug interactions, Journal of Biomedical Informatics, 140: 104341. https://doi.org/10.1016/j.jbi.2023.104341 Tomaszuk D., Angles R., and Thakkar H., 2020, PGO: describing property graphs in RDF, IEEE Access, 8: 118355-118369. https://doi.org/10.1109/ACCESS.2020.3002018 Xiao Y., Steinecke D., Pelletier A., Bai Y., Ping P., and Wang W., 2023, Know2BIO: a comprehensive dual-view benchmark for evolving biomedical knowledge graphs, arXiv Preprint, 2310: 03221. https://doi.org/10.48550/arxiv.2310.03221 Zhan X., Li H., Jin J., Ju X., Gao J., Chen X., Yuan F., Gu J., Xu D., and Ju G., 2024, Network pharmacology and experimental validation to explore the role and potential mechanism of Liuwei Dihuang Decoction in prostate cancer, BMC Complementary Medicine and Therapies, 24(1): 284. https://doi.org/10.1186/s12906-024-04572-5 Zhou C., Cai C., Huang X., Wu S., Yu J., Wu J., Fang J., and Li G., 2024, TarKG: a comprehensive biomedical knowledge graph for target discovery, Bioinformatics, 40(10): btae598. https://doi.org/10.1093/bioinformatics/btae598
RkJQdWJsaXNoZXIy MjQ4ODYzNA==