Nucleo-amino acid derived AMO as a potential JAK inhibitor: machine learning screening, docking, molecular dynamics, ADMET/toxicity, and MM-PBSA analysis.

Hosseini M, Fattahi A

Open source

DOI
10.1016/j.crstbi.2026.100191
Published
2026 Dec
Container
Current research in structural biology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1016/j.crstbi.2026.100191,
  title = {Nucleo-amino acid derived AMO as a potential JAK inhibitor: machine learning screening, docking, molecular dynamics, ADMET/toxicity, and MM-PBSA analysis.},
  author = {Hosseini M and Fattahi A},
  year = {2026},
  journal = {Current research in structural biology},
  doi = {10.1016/j.crstbi.2026.100191},
  url = {https://doi.org/10.1016/j.crstbi.2026.100191}
}

RIS

TY  - JOUR
TI  - Nucleo-amino acid derived AMO as a potential JAK inhibitor: machine learning screening, docking, molecular dynamics, ADMET/toxicity, and MM-PBSA analysis.
AU  - Hosseini M
AU  - Fattahi A
PY  - 2026
JO  - Current research in structural biology
DO  - 10.1016/j.crstbi.2026.100191
UR  - https://doi.org/10.1016/j.crstbi.2026.100191
ER  - 

APA

M, H., & A, F. (2026). Nucleo-amino acid derived AMO as a potential JAK inhibitor: machine learning screening, docking, molecular dynamics, ADMET/toxicity, and MM-PBSA analysis.. Current research in structural biology. https://doi.org/10.1016/j.crstbi.2026.100191

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