Interpretable machine learning and graph attention network based model for predicting PAMPA permeability.

Parasar U, Baruah O, Saikia D, Bharali P, Mahanta HJ

Open source

DOI
10.1016/j.jmgm.2025.109050
Published
2025 Jul
Container
Journal of molecular graphics & modelling
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.jmgm.2025.109050,
  title = {Interpretable machine learning and graph attention network based model for predicting PAMPA permeability.},
  author = {Parasar U and Baruah O and Saikia D and Bharali P and Mahanta HJ},
  year = {2025},
  journal = {Journal of molecular graphics \& modelling},
  doi = {10.1016/j.jmgm.2025.109050},
  url = {https://doi.org/10.1016/j.jmgm.2025.109050}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning and graph attention network based model for predicting PAMPA permeability.
AU  - Parasar U
AU  - Baruah O
AU  - Saikia D
AU  - Bharali P
AU  - Mahanta HJ
PY  - 2025
JO  - Journal of molecular graphics & modelling
DO  - 10.1016/j.jmgm.2025.109050
UR  - https://doi.org/10.1016/j.jmgm.2025.109050
ER  - 

APA

U, P., O, B., D, S., P, B., & HJ, M. (2025). Interpretable machine learning and graph attention network based model for predicting PAMPA permeability.. Journal of molecular graphics & modelling. https://doi.org/10.1016/j.jmgm.2025.109050

Source records