In Silico Identification of Natural-Product Aromatase (CYP19A1) Inhibitors via Integrated Molecular Docking and QSAR Modelling.

Akanko EA, Kporvie SS, Hanson G, Adu-Manu KS

DOI: 10.1177/11779322261483610
Published: 2026
Container: Bioinformatics and biology insights
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1177/11779322261483610,
  title = {In Silico Identification of Natural-Product Aromatase (CYP19A1) Inhibitors via Integrated Molecular Docking and QSAR Modelling.},
  author = {Akanko EA and Kporvie SS and Hanson G and Adu-Manu KS},
  year = {2026},
  journal = {Bioinformatics and biology insights},
  doi = {10.1177/11779322261483610},
  url = {https://doi.org/10.1177/11779322261483610}
}

RIS

TY  - JOUR
TI  - In Silico Identification of Natural-Product Aromatase (CYP19A1) Inhibitors via Integrated Molecular Docking and QSAR Modelling.
AU  - Akanko EA
AU  - Kporvie SS
AU  - Hanson G
AU  - Adu-Manu KS
PY  - 2026
JO  - Bioinformatics and biology insights
DO  - 10.1177/11779322261483610
UR  - https://doi.org/10.1177/11779322261483610
ER  -

APA

EA, A., SS, K., G, H., & KS, A. (2026). In Silico Identification of Natural-Product Aromatase (CYP19A1) Inhibitors via Integrated Molecular Docking and QSAR Modelling.. Bioinformatics and biology insights. https://doi.org/10.1177/11779322261483610

Source records

pubmed · retrieved 2026-09-26T21:03:24.406Z