Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors.
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| Title: | Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors. |
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| Authors: | Yu T; Center of Data Mining and Biomedical informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand., Nantasenamat C; Streamlit Open Source, Snowflake Inc., San Mateo, California 94402, United States., Anuwongcharoen N; Center of Data Mining and Biomedical informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand., Piacham T; Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand. |
| Source: | ACS omega [ACS Omega] 2023 Nov 08; Vol. 8 (46), pp. 43500-43510. Date of Electronic Publication: 2023 Nov 08 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101691658 Publication Model: eCollection Cited Medium: Internet ISSN: 2470-1343 (Electronic) Linking ISSN: 24701343 NLM ISO Abbreviation: ACS Omega Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2470-1343 |
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| DOI: | 10.1021/acsomega.3c03225 |
