p(PFAM:GSHPx)
GPx removes both H2O2 and organic hydroperoxides [8,31] whereas PRDX2 removes H2O2 [2], organic hydroperoxides, lipid hydroperoxides, [32,33] peroxynitrite [34] and protein hydroperoxides [35]. PubMed:23215741
The finding that GPx has a greater role in the inhibition of heme degradation products than catalase [3] is consistent with the primary role of catalase to react with the high concentrations of H2O2 coming from exogenous sources and for GPx to react with the low levels of H2O2 coming from the endogenous autoxidation of Hb [39]. PubMed:23215741
GPx removes both H2O2 and organic hydroperoxides [8,31] whereas PRDX2 removes H2O2 [2], organic hydroperoxides, lipid hydroperoxides, [32,33] peroxynitrite [34] and protein hydroperoxides [35]. PubMed:23215741
GPx removes both H2O2 and organic hydroperoxides [8,31] whereas PRDX2 removes H2O2 [2], organic hydroperoxides, lipid hydroperoxides, [32,33] peroxynitrite [34] and protein hydroperoxides [35]. PubMed:23215741
The finding that GPx has a greater role in the inhibition of heme degradation products than catalase [3] is consistent with the primary role of catalase to react with the high concentrations of H2O2 coming from exogenous sources and for GPx to react with the low levels of H2O2 coming from the endogenous autoxidation of Hb [39]. PubMed:23215741
GPx removes both H2O2 and organic hydroperoxides [8,31] whereas PRDX2 removes H2O2 [2], organic hydroperoxides, lipid hydroperoxides, [32,33] peroxynitrite [34] and protein hydroperoxides [35]. PubMed:23215741
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.