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Peer-reviewedLicence not statedChemBioChem

RNAGEN: A Generative Adversarial Network‐Based Model to Generate Synthetic RNA Sequences to Target Proteins

  • Furkan Özden1,2
  • Sina Barazandeh3,4
  • Doğuş Akboğa5,6
  • Sobhan Shokoueian Tabrizi3
  • Urartu Özgür Şafak Şeker7,6
  • A. Ercüment Çiçek8,3,9,4
9 affiliations
  1. 1Department of Computer Science Oxford University Oxford UK
  2. 2Department of Computer Science, Oxford University, Oxford, UK
  3. 3Department of Computer Engineering Bilkent University Ankara Turkey
  4. 4Department of Computer Engineering, Bilkent University, Ankara, Turkey
  5. 5Materials Science and Nanotechnology Graduate Program Bilkent University Ankara Turkey
  6. 6National Nanotechnology Research Center, Bilkent University, Ankara, Turkey
  7. 7Department of Biological Sciences Middle East Technical University Ankara Turkey
  8. 8Computational Biology Department Carnegie Mellon University Pittsburgh Pennsylvania USA
  9. 9Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA
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Cite

BibTeXRIS
BibTeX
@article{ozden2026rnagen,
  title = {{RNAGEN: A Generative Adversarial Network‐Based Model to Generate Synthetic RNA Sequences to Target Proteins}},
  author = {Furkan Özden and Sina Barazandeh and Doğuş Akboğa and Sobhan Shokoueian Tabrizi and Urartu Özgür Şafak Şeker and A. Ercüment Çiçek},
  journal = {ChemBioChem},
  year = {2026},
  month = jun,
  doi = {10.1002/cbic.202500445},
  url = {https://doi.org/10.1101/2023.07.11.548246},
}
RIS
TY  - JOUR
TI  - RNAGEN: A Generative Adversarial Network‐Based Model to Generate Synthetic RNA Sequences to Target Proteins
AU  - Furkan Özden
AU  - Sina Barazandeh
AU  - Doğuş Akboğa
AU  - Sobhan Shokoueian Tabrizi
AU  - Urartu Özgür Şafak Şeker
AU  - A. Ercüment Çiçek
PY  - 2026
DA  - 2026/06/30
JO  - ChemBioChem
DO  - 10.1002/cbic.202500445
UR  - https://doi.org/10.1101/2023.07.11.548246
SN  - 1439-4227
SN  - 1439-7633
ER  -