Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches.
- DOI
- 10.1016/j.jmgm.2023.108510
- Published
- 2023 Sep
- Container
- Journal of molecular graphics & modelling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmgm.2023.108510,
title = {Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches.},
author = {Bhattacharya A and Amin SA and Kumar P and Jha T and Gayen S},
year = {2023},
journal = {Journal of molecular graphics \& modelling},
doi = {10.1016/j.jmgm.2023.108510},
url = {https://doi.org/10.1016/j.jmgm.2023.108510}
}RIS
TY - JOUR TI - Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches. AU - Bhattacharya A AU - Amin SA AU - Kumar P AU - Jha T AU - Gayen S PY - 2023 JO - Journal of molecular graphics & modelling DO - 10.1016/j.jmgm.2023.108510 UR - https://doi.org/10.1016/j.jmgm.2023.108510 ER -
APA
A, B., SA, A., P, K., T, J., & S, G. (2023). Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches.. Journal of molecular graphics & modelling. https://doi.org/10.1016/j.jmgm.2023.108510
Source records
- pubmed · retrieved 2026-09-27T12:08:53.766Z