In recent years, the transformative potential of deep neural networks (DNNs) for analysing
and interpreting NMR data has clearly been recognised. However, most applications of DNNs …

Chemical exchange saturation transfer (CEST) NMR experiments have emerged as a powerful
tool for characterizing dynamics in proteins. We show here that the CEST approach can …

Nuclear magnetic resonance (NMR) experiments are frequently complicated by the
presence of homonuclear scalar couplings. For the growing body of biomolecular 13 C-detected …

The incorporation of fluorine can not only significantly facilitate the study of proteins but also
potentially modulate their function. Though some biosynthetic methods allow global residue-…

The surface of proteins is covered by side chains of polar amino acids that are imperative
for modulating protein functionality through the formation of noncovalent intermolecular …

Proteins need to interconvert between many conformations in order to function, many of
which are formed transiently, and sparsely populated. Particularly when the lifetimes of these …

Most techniques allow detection of protein unfolding either by following the behaviour of
single reporters or as an averaged all-or-none process. We recently added 2D NMR …

NMR and MRI diffusion experiments contain information describing the shape, size,
abundance, and membrane permeability of cells although extracting this information can be …

Macromolecules often exchange between functional states on timescales that can be accessed
with NMR spectroscopy and many NMR tools have been developed to characterise the …

Virus-like particles (VLPs) are stable protein cages derived from virus coats. They have been
used extensively as biomolecular platforms, eg, nanocarriers or vaccines, but a convenient …