RLAnOxPeptide: an integrated framework combining transformer and reinforcement learning for efficient antioxidant peptide prediction and innovative design.

Han C, Yue J, Li Y, Li H, Tan H, Wang Z, Qi Z, Zhou J, Liu Z, Wang Y

Open source

DOI
10.1093/bioinformatics/btag504
Published
2026 Jul 2
Container
Bioinformatics (Oxford, England)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1093/bioinformatics/btag504,
  title = {RLAnOxPeptide: an integrated framework combining transformer and reinforcement learning for efficient antioxidant peptide prediction and innovative design.},
  author = {Han C and Yue J and Li Y and Li H and Tan H and Wang Z and Qi Z and Zhou J and Liu Z and Wang Y},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag504},
  url = {https://doi.org/10.1093/bioinformatics/btag504}
}

RIS

TY  - JOUR
TI  - RLAnOxPeptide: an integrated framework combining transformer and reinforcement learning for efficient antioxidant peptide prediction and innovative design.
AU  - Han C
AU  - Yue J
AU  - Li Y
AU  - Li H
AU  - Tan H
AU  - Wang Z
AU  - Qi Z
AU  - Zhou J
AU  - Liu Z
AU  - Wang Y
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag504
UR  - https://doi.org/10.1093/bioinformatics/btag504
ER  - 

APA

C, H., J, Y., Y, L., H, L., H, T., Z, W., Z, Q., J, Z., Z, L., & Y, W. (2026). RLAnOxPeptide: an integrated framework combining transformer and reinforcement learning for efficient antioxidant peptide prediction and innovative design.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag504

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