Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization-Reference-Cited by-同舟云学术

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Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization

Published:2025-06-23 Issue: Volume: Page:
ISSN:1948-7193
Container-title:ACS Chemical Neuroscience
language:en
Short-container-title:ACS Chem. Neurosci.

Author:

Xia Jin-Yu¹²,Sun Ze-Yu³⁴^ORCID,Xue Ying³⁴⁵⁶,Zhang Ying-Qian¹²,Feng Zhi-Wei³⁴⁵⁶^ORCID,Li Yu-Long¹²^ORCID

Affiliation:

1. School of Civil Engineering, College of Chemistry and Environmental Engineering

2. Sichuan University of Science and Engineering

3. Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy

4. University of Pittsburgh

5. Faculty of Pharmaceutical Sciences

6. Shenzhen University of Advanced Technology

Funder

Sichuan University of Science and Engineering

National Natural Science Foundation of China

Scientific Research and Innovation Team Program of Sichuan University of Science and Engineering

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acschemneuro.5c00165

Reference43 articles.

1. Updated Epidemiology of Gastric Cancer in Asia: Decreased Incidence but Still a Big Challenge

2. Advances in the treatment of gastric cancer

3. Wall, A. M. Drug Resistance in Cancer Chemotherapy; John Wiley & Sons, Ltd., 2003; pp 281–291.

4. Adapting and Surviving: Intra and Extra-Cellular Remodeling in Drug-Resistant Gastric Cancer Cells

5. Molecular mechanisms of chemoresistance in gastric cancer

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