Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors.

Yu T, Nantasenamat C, Anuwongcharoen N, Piacham T

DOI: 10.1021/acsomega.3c03225
Published: 2023 Nov 21
Container: ACS omega
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.3c03225,
  title = {Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors.},
  author = {Yu T and Nantasenamat C and Anuwongcharoen N and Piacham T},
  year = {2023},
  journal = {ACS omega},
  doi = {10.1021/acsomega.3c03225},
  url = {https://doi.org/10.1021/acsomega.3c03225}
}

RIS

TY  - JOUR
TI  - Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors.
AU  - Yu T
AU  - Nantasenamat C
AU  - Anuwongcharoen N
AU  - Piacham T
PY  - 2023
JO  - ACS omega
DO  - 10.1021/acsomega.3c03225
UR  - https://doi.org/10.1021/acsomega.3c03225
ER  -

APA

T, Y., C, N., N, A., & T, P. (2023). Machine Learning Approaches to Investigate the Structure-Activity Relationship of Angiotensin-Converting Enzyme Inhibitors.. ACS omega. https://doi.org/10.1021/acsomega.3c03225

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pubmed · retrieved 2026-09-26T11:28:15.209Z