FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction Strategies.

Tang Y, Fan Y, Sun G, Zheng M

Open source

DOI
10.1109/tcbbio.2026.3695928
Published
2026 Jul-Aug
Container
IEEE transactions on computational biology and bioinformatics
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1109/tcbbio.2026.3695928,
  title = {FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction Strategies.},
  author = {Tang Y and Fan Y and Sun G and Zheng M},
  year = {2026},
  journal = {IEEE transactions on computational biology and bioinformatics},
  doi = {10.1109/tcbbio.2026.3695928},
  url = {https://doi.org/10.1109/tcbbio.2026.3695928}
}

RIS

TY  - JOUR
TI  - FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction Strategies.
AU  - Tang Y
AU  - Fan Y
AU  - Sun G
AU  - Zheng M
PY  - 2026
JO  - IEEE transactions on computational biology and bioinformatics
DO  - 10.1109/tcbbio.2026.3695928
UR  - https://doi.org/10.1109/tcbbio.2026.3695928
ER  - 

APA

Y, T., Y, F., G, S., & M, Z. (2026). FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction Strategies.. IEEE transactions on computational biology and bioinformatics. https://doi.org/10.1109/tcbbio.2026.3695928

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