Exploring the boundaries of additivity: mixtures of NADH: quinone oxidoreductase inhibitors.

The activity of mitochondrial complex I of the electron transport chain (ETC) is known to be affected by an extraordinarily large number of diverse xenobiotics, and dysfunction at complex I has been associated with a variety of disparate human diseases, including those with potentially environmentally relevant etiologies. However, the risks associated with mixtures of complex I inhibitors have not been fully explored, and this warrants further examination of potentially greater than additive effects that could lead to toxicity. A potential complication for the prediction of mixture effects arises because mammalian mitochondrial complex I has been shown to exist in two distinct dynamic conformations based upon substrate availability.

Bayesian model selection for mining mass spectrometry data.

A procedure for learning a probabilistic model from mass spectrometry data that accounts for domain specific noise and mitigates the complexity of Bayesian structure learning is presented. We evaluate the algorithm by applying the learned probabilistic model to microorganism detection from mass spectrometry data.