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Glutathione levels in antigen-presenting cells modulate Th1 versus Th2 response patterns
5 Conclusion This study highlights the effectiveness of machine learning models, particularly random forests, in predicting residual disease status (R0, R1) in high-grade serous ovarian cancer (HGSOC) patients undergoing neoadjuvant chemotherapy (NACT) via proteomic data
It is known that amino acid conjugation of exogenous carboxylic acids occurs in a twostep process (Reilly et al., 2007)
R -lipoic acid is also found in the E3-binding protein (protein X component) of the pyruvate dehydrogenase complex (5)
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Mitochondrial NAD(+) Controls Nuclear ARTD1-Induced ADP-Ribosylation
