Predicting Endocrine Disruptors: A Deep Learning QSAR Model for Estrogen Receptor Activity

Belaguppa Manjunath Ashwin Desai, Shreyas Murthy, Bhoomika Sridhar, Belaguppa Manjunath Anirudh, Vivien Humtsoe, Pronama Biswas

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DOI: 10.1109/b-htc67770.2026.11502197
Published: 2026-03-27
Container: 2026 IEEE Bangalore Humanitarian Technology Conference (B-HTC)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/b-htc67770.2026.11502197,
  title = {Predicting Endocrine Disruptors: A Deep Learning QSAR Model for Estrogen Receptor Activity},
  author = {Belaguppa Manjunath Ashwin Desai and Shreyas Murthy and Bhoomika Sridhar and Belaguppa Manjunath Anirudh and Vivien Humtsoe and Pronama Biswas},
  year = {2026},
  journal = {2026 IEEE Bangalore Humanitarian Technology Conference (B-HTC)},
  doi = {10.1109/b-htc67770.2026.11502197},
  url = {https://doi.org/10.1109/b-htc67770.2026.11502197}
}

RIS

TY  - JOUR
TI  - Predicting Endocrine Disruptors: A Deep Learning QSAR Model for Estrogen Receptor Activity
AU  - Belaguppa Manjunath Ashwin Desai
AU  - Shreyas Murthy
AU  - Bhoomika Sridhar
AU  - Belaguppa Manjunath Anirudh
AU  - Vivien Humtsoe
AU  - Pronama Biswas
PY  - 2026
JO  - 2026 IEEE Bangalore Humanitarian Technology Conference (B-HTC)
DO  - 10.1109/b-htc67770.2026.11502197
UR  - https://doi.org/10.1109/b-htc67770.2026.11502197
ER  -

APA

Desai, B. M. A., Murthy, S., Sridhar, B., Anirudh, B. M., Humtsoe, V., & Biswas, P. (2026). Predicting Endocrine Disruptors: A Deep Learning QSAR Model for Estrogen Receptor Activity. 2026 IEEE Bangalore Humanitarian Technology Conference (B-HTC). https://doi.org/10.1109/b-htc67770.2026.11502197

Source records

crossref · retrieved 2026-09-26T17:18:57.528Z