Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs.
- DOI
- 10.1021/acsomega.6c04218
- Published
- 2026 Sep 22
- Container
- ACS omega
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acsomega.6c04218,
title = {Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs.},
author = {Kour S and Sankar JR},
year = {2026},
journal = {ACS omega},
doi = {10.1021/acsomega.6c04218},
url = {https://doi.org/10.1021/acsomega.6c04218}
}RIS
TY - JOUR TI - Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs. AU - Kour S AU - Sankar JR PY - 2026 JO - ACS omega DO - 10.1021/acsomega.6c04218 UR - https://doi.org/10.1021/acsomega.6c04218 ER -
APA
S, K., & JR, S. (2026). Integrating Machine Learning Approaches and Topological Indices for Prediction of Electronic Properties in Anticancer Drugs.. ACS omega. https://doi.org/10.1021/acsomega.6c04218
Source records
- pubmed · retrieved 2026-09-27T10:14:32.608Z