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Role of microRNAs in the anticancer effects of the flavonoid luteolin: a systematic review.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP)

Mishan MA, Khazeei Tabari MA, Mahrooz A, Bagheri A.
PMID: 33720053
Eur J Cancer Prev. 2021 Sep 01;30(5):413-421. doi: 10.1097/CEJ.0000000000000645.

Flavonoids, a broad class of polyphenolic compounds, can potentially have several therapeutic properties in human diseases, including protective effects against oxidative stress, inflammation, cardiovascular disease, diabetes, neurodegenerative disorders, and cancers. Luteolin as a member of flavonoids has been found...

Cite
Mishan MA, Khazeei Tabari MA, Mahrooz A, et al. Role of microRNAs in the anticancer effects of the flavonoid luteolin: a systematic review. Eur J Cancer Prev. 2021;30(5):413-421doi: 10.1097/CEJ.0000000000000645.
Mishan, M. A., Khazeei Tabari, M. A., Mahrooz, A., & Bagheri, A. (2021). Role of microRNAs in the anticancer effects of the flavonoid luteolin: a systematic review. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP), 30(5), 413-421. https://doi.org/10.1097/CEJ.0000000000000645
Mishan, Mohammad Amir, et al. "Role of microRNAs in the anticancer effects of the flavonoid luteolin: a systematic review." European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) vol. 30,5 (2021): 413-421. doi: https://doi.org/10.1097/CEJ.0000000000000645
Mishan MA, Khazeei Tabari MA, Mahrooz A, Bagheri A. Role of microRNAs in the anticancer effects of the flavonoid luteolin: a systematic review. Eur J Cancer Prev. 2021 Sep 01;30(5):413-421. doi: 10.1097/CEJ.0000000000000645. PMID: 33720053.
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Machine Learning: New Ideas and Tools in Environmental Science and Engineering.

Environmental science & technology

Zhong S, Zhang K, Bagheri M, Burken JG, Gu A, Li B, Ma X, Marrone BL, Ren ZJ, Schrier J, Shi W, Tan H, Wang T, Wang X, Wong BM, Xiao X, Yu X, Zhu JJ, Zhang H.
PMID: 34403250
Environ Sci Technol. 2021 Oct 05;55(19):12741-12754. doi: 10.1021/acs.est.1c01339. Epub 2021 Aug 17.

The rapid increase in both the quantity and complexity of data that are being generated daily in the field of environmental science and engineering (ESE) demands accompanied advancement in data analytics. Advanced data analysis approaches, such as machine learning...

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Zhong S, Zhang K, Bagheri M, et al. Machine Learning: New Ideas and Tools in Environmental Science and Engineering. Environ Sci Technol. 2021;55(19):12741-12754doi: 10.1021/acs.est.1c01339.
Zhong, S., Zhang, K., Bagheri, M., Burken, J. G., Gu, A., Li, B., Ma, X., Marrone, B. L., Ren, Z. J., Schrier, J., Shi, W., Tan, H., Wang, T., Wang, X., Wong, B. M., Xiao, X., Yu, X., Zhu, J. J., & Zhang, H. (2021). Machine Learning: New Ideas and Tools in Environmental Science and Engineering. Environmental science & technology, 55(19), 12741-12754. https://doi.org/10.1021/acs.est.1c01339
Zhong, Shifa, et al. "Machine Learning: New Ideas and Tools in Environmental Science and Engineering." Environmental science & technology vol. 55,19 (2021): 12741-12754. doi: https://doi.org/10.1021/acs.est.1c01339
Zhong S, Zhang K, Bagheri M, Burken JG, Gu A, Li B, Ma X, Marrone BL, Ren ZJ, Schrier J, Shi W, Tan H, Wang T, Wang X, Wong BM, Xiao X, Yu X, Zhu JJ, Zhang H. Machine Learning: New Ideas and Tools in Environmental Science and Engineering. Environ Sci Technol. 2021 Oct 05;55(19):12741-12754. doi: 10.1021/acs.est.1c01339. Epub 2021 Aug 17. PMID: 34403250.
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Enhanced Catalytic Performance of Quasi-HKUST-1 for the Tandem Imine Formation.

Chemistry (Weinheim an der Bergstrasse, Germany)

Bagheri M, Melillo A, Ferrer B, Masoomi MY, Garcia H.
PMID: 34403537
Chemistry. 2021 Oct 13;27(57):14273-14281. doi: 10.1002/chem.202102405. Epub 2021 Sep 09.

Copper-based metal-organic framework (Cu

Cite
Bagheri M, Melillo A, Ferrer B, et al. Enhanced Catalytic Performance of Quasi-HKUST-1 for the Tandem Imine Formation. Chemistry. 2021;27(57):14273-14281doi: 10.1002/chem.202102405.
Bagheri, M., Melillo, A., Ferrer, B., Masoomi, M. Y., & Garcia, H. (2021). Enhanced Catalytic Performance of Quasi-HKUST-1 for the Tandem Imine Formation. Chemistry (Weinheim an der Bergstrasse, Germany), 27(57), 14273-14281. https://doi.org/10.1002/chem.202102405
Bagheri, Minoo, et al. "Enhanced Catalytic Performance of Quasi-HKUST-1 for the Tandem Imine Formation." Chemistry (Weinheim an der Bergstrasse, Germany) vol. 27,57 (2021): 14273-14281. doi: https://doi.org/10.1002/chem.202102405
Bagheri M, Melillo A, Ferrer B, Masoomi MY, Garcia H. Enhanced Catalytic Performance of Quasi-HKUST-1 for the Tandem Imine Formation. Chemistry. 2021 Oct 13;27(57):14273-14281. doi: 10.1002/chem.202102405. Epub 2021 Sep 09. PMID: 34403537.
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Showing 1105 to 1107 of 1107 entries