SMILES-based degree molecular descriptors and machine learning for QSPR modeling of anti-alkaptonuria drugs.

Wu G, Rasheed MW, Alsulami S

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DOI: 10.3389/fchem.2026.1845927
Published: 2026
Container: Frontiers in chemistry
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fchem.2026.1845927,
  title = {SMILES-based degree molecular descriptors and machine learning for QSPR modeling of anti-alkaptonuria drugs.},
  author = {Wu G and Rasheed MW and Alsulami S},
  year = {2026},
  journal = {Frontiers in chemistry},
  doi = {10.3389/fchem.2026.1845927},
  url = {https://doi.org/10.3389/fchem.2026.1845927}
}

RIS

TY  - JOUR
TI  - SMILES-based degree molecular descriptors and machine learning for QSPR modeling of anti-alkaptonuria drugs.
AU  - Wu G
AU  - Rasheed MW
AU  - Alsulami S
PY  - 2026
JO  - Frontiers in chemistry
DO  - 10.3389/fchem.2026.1845927
UR  - https://doi.org/10.3389/fchem.2026.1845927
ER  -

APA

G, W., MW, R., & S, A. (2026). SMILES-based degree molecular descriptors and machine learning for QSPR modeling of anti-alkaptonuria drugs.. Frontiers in chemistry. https://doi.org/10.3389/fchem.2026.1845927

Source records

pubmed · retrieved 2026-09-25T17:19:53.984Z
europe-pmc · retrieved 2026-09-25T17:19:54.004Z
doaj · retrieved 2026-09-25T17:19:53.990Z