Exploring structural requirements of HDAC10 inhibitors through comparative machine learning approaches.

Bhattacharya A, Amin SA, Kumar P, Jha T, Gayen S

Open source

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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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

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