Correction for ‘Dynamic properties of dipeptidyl peptidase III from Bacteroides thetaiotaomicron and the structural basis for its substrate specificity – a computational study’ by M. Tomin et al., Mol. BioSyst., 2017, 13, 2407–2417.
Correction for ‘Elucidating time-dependent changes in the urinary metabolome of renal transplant patients by a combined 1H NMR and GC-MS approach’ by Kienana Muhrez et al., Mol. BioSyst., 2015, 11, 2493–2510.
Metabolic profiling provides an unbiased view of the physiological status of an organism as a “function” of the metabolic composition of a measured sample.
Molecular dynamics simulations along with the computational predictions used to assess the protein structural characterization as well as the conformational preferences of the monomeric native and mutant SOD1.
Metabolomics combined with pattern recognition and network analysis maybe an attractive strategy for the pharmacodynamics biomarkers development on liver fibrosis.