RPI-PLMGNN: Enhancing RNA-Protein Interaction Prediction with the Pretrained Large Language Models and Graph Neural Networks.

Jia Y, Wang S, Yin J, Yang C, Xu J, Meng Y, Zou Q, Cui F, Wang T, Zhang Z

Open source

DOI
10.1021/acssynbio.6c00142
Published
2026 Jul 17
Container
ACS synthetic biology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1021/acssynbio.6c00142,
  title = {RPI-PLMGNN: Enhancing RNA-Protein Interaction Prediction with the Pretrained Large Language Models and Graph Neural Networks.},
  author = {Jia Y and Wang S and Yin J and Yang C and Xu J and Meng Y and Zou Q and Cui F and Wang T and Zhang Z},
  year = {2026},
  journal = {ACS synthetic biology},
  doi = {10.1021/acssynbio.6c00142},
  url = {https://doi.org/10.1021/acssynbio.6c00142}
}

RIS

TY  - JOUR
TI  - RPI-PLMGNN: Enhancing RNA-Protein Interaction Prediction with the Pretrained Large Language Models and Graph Neural Networks.
AU  - Jia Y
AU  - Wang S
AU  - Yin J
AU  - Yang C
AU  - Xu J
AU  - Meng Y
AU  - Zou Q
AU  - Cui F
AU  - Wang T
AU  - Zhang Z
PY  - 2026
JO  - ACS synthetic biology
DO  - 10.1021/acssynbio.6c00142
UR  - https://doi.org/10.1021/acssynbio.6c00142
ER  - 

APA

Y, J., S, W., J, Y., C, Y., J, X., Y, M., Q, Z., F, C., T, W., & Z, Z. (2026). RPI-PLMGNN: Enhancing RNA-Protein Interaction Prediction with the Pretrained Large Language Models and Graph Neural Networks.. ACS synthetic biology. https://doi.org/10.1021/acssynbio.6c00142

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