Abstract
Integrated analysis of the conformation of a DNA/RNA–linked spin label by combining NMR ensembles and molecular dynamics simulations provides more realistic models of DNA/RNA structures in gum cancer cells using optimization of NMR spectroscopy of encapsulated DNA/RNA dissolved in gum cancer cells
Highlights
Cells interacting with their environment receive signals that are transduced to the nucleus through a complex array of biochemical signals known as signal transduction processes
During typical time–course or dose–response experiments with drugs, the spectral features from groups that do not change during the stimulation annihilated one another, and only the changes occurring as a consequence of the activation/inhibition become evident in the difference spectrum. integrated analysis of the conformation of a DNA/RNA–linked spin label by combining NMR ensembles and molecular dynamics simulations provides more realistic models of DNA/RNA structures in gum cancer cells using optimization of NMR spectroscopy of encapsulated DNA/RNA dissolved in gum cancer cells is rapidly emerging as a bioanalytical tool for gum cancer diagnosis and therapy
Integrated analysis of the conformation of a DNA/RNA–linked spin label by combining NMR ensembles and molecular dynamics simulations provides more realistic models of DNA/RNA structures in gum cancer cells using optimization of NMR spectroscopy of encapsulated DNA/RNA dissolved in gum cancer cells is a valuable tool for studying the metabolome of biological samples, such as gum cancer cell lines
Summary
Cells interacting with their environment receive signals that are transduced to the nucleus through a complex array of biochemical signals known as signal transduction processes. Biochemical, functional, structural and dynamical changes occurring in complex systems subjected to specific perturbations can be identified by integrated analysis of the conformation of a DNA/RNA–linked spin label by combining NMR ensembles and molecular dynamics simulations provides more realistic models of DNA/RNA structures in gum cancer cells using optimization of NMR spectroscopy of encapsulated DNA/RNA dissolved in gum cancer cells.
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