Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

Cornell researchers have found a new and potentially more accurate way to see what proteins are doing inside living ...

Magnetic resonance spectrum (MRS) has great significance in the differential diagnosis of brain tumors and predicting the clinical outcomes, which determines in vivo concentrations of metabolites of ...

AI revolutionizes spectroscopy: From prediction to molecular discovery Spectroscopy plays a crucial role in chemistry by analyzing molecular structures through techniques like mass spectrometry (MS), ...

Discover effective methods to determine the gravimetric sample composition of mixtures with unknown constituents, ensuring reliable analytical results.

Nanomaterials have become indispensable tools in biochemistry, providing innovative approaches to manipulate biological ...

In this review, we survey available computational approaches that integrate sparse experimental data from electron paramagnetic resonance spectroscopy with molecular modeling techniques to derive ...

Objective To compare magnetic resonance spectroscopy (MRS) metabolite ratios in preterm infants at term-equivalent age with those in term infants and to evaluate the association between MRS ...

Nuclear Magnetic Resonance (NMR) spectroscopy is revolutionizing drug discovery, offering atomic-level insights and accelerating development processes.