Classification of anti-oxidant proteins using novel physiochemical and conjoint-quad (PCQ) feature composition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17498-w.pdf
Reference68 articles.
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2. Usman M, Khan S, Park S, Lee JA (2021) AoP-LSE: Antioxidant Proteins Classification Using Deep Latent Space Encoding of Sequence Features. Curr Issues Mol Biol 43(3):1489–1501
3. Basini G, Simona B, Santini SE, Grasselli F (2008) Reactive oxygen species and anti-oxidant defences in swine follicular fluids. Reprod Fertil Dev 20(2):269–274
4. Staudacher V, Trujillo M, Diederichs T, Dick TP, Radi R, Morgan B, Deponte M (2018) Redox-sensitive GFP fusions for monitoring the catalytic mechanism and inactivation of peroxiredoxins in living cells. Redox Biol 14:549–556
5. Li X, Tang Q, Tang H, Chen W (2020) “Identifying antioxidant proteins by combining multiple methods.” Front Bioeng Biotechnol 8(2020):858
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