Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer-Reference-Cited by-同舟云学术

Cheminformatic Analysis and Machine Learning Modeling to Investigate Androgen Receptor Antagonists to Combat Prostate Cancer

Published:2023-02-13 Issue:7 Volume:8 Page:6729-6742
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Yu Tianshi¹,Nantasenamat Chanin²,Kachenton Supicha³,Anuwongcharoen Nuttapat¹,Piacham Theeraphon³^ORCID

Affiliation:

1. Center of Data Mining and Biomedical informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand

2. Streamlit Open Source, Snowflake Inc., San Mateo, California 94402, United States

3. Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand

Funder

National Research Council of Thailand

Royal Golden Jubilee (RGJ) Ph.D. Programme

Mahidol University

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c07346

Reference44 articles.

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2. Prostate Cancer Incidence and Mortality: Global Status and Temporal Trends in 89 Countries From 2000 to 2019

3. Effect of the heat shock protein HSP27 on androgen receptor expression and function in prostate cancer cells

4. J M B C T D L; Pnas, J.; Performed Research. Targeting the Regulation of Androgen Receptor Signaling by the Heat Shock Protein 90 Cochaperone FKBP52 in Prostate Cancer Cells 2011; Vol. 108.

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