Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction.

Karthick V, Alshammari FS, Jayasimman IP, Besi PR, Akgul A

Open source

DOI
10.1038/s41598-026-41325-5
Published
2026 Feb 27
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-41325-5,
  title = {Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction.},
  author = {Karthick V and Alshammari FS and Jayasimman IP and Besi PR and Akgul A},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-41325-5},
  url = {https://doi.org/10.1038/s41598-026-41325-5}
}

RIS

TY  - JOUR
TI  - Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction.
AU  - Karthick V
AU  - Alshammari FS
AU  - Jayasimman IP
AU  - Besi PR
AU  - Akgul A
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-41325-5
UR  - https://doi.org/10.1038/s41598-026-41325-5
ER  - 

APA

V, K., FS, A., IP, J., PR, B., & A, A. (2026). Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction.. Scientific reports. https://doi.org/10.1038/s41598-026-41325-5

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