Although scalar-coupling provides important structural information, the resulting signal
splittings significantly reduce the resolution of NMR spectra. Limited resolution is a particular …

Biomolecular nuclear magnetic resonance (NMR) spectroscopy and artificial intelligence
(AI) have a burgeoning synergy. Deep learning-based structural predictors have forever …

There has been considerable recent progress in protein structure prediction using deep
neural networks to predict inter-residue distances from amino acid sequences,–. Here we …

The ubiquitous heat shock protein 70 (HSP70) family consists of ATP-dependent molecular
chaperones, which perform numerous cellular functions that affect almost all aspects of the …

The quality of genetically encoded calcium indicators (GECIs) has improved dramatically in
recent years, but high-performing ratiometric indicators are still rare. Here we describe a …

Alzheimer disease is characterized by abnormal protein deposits in the brain, such as
extracellular amyloid plaques and intracellular neurofibrillary tangles. The tangles are made …

In idiopathic Parkinson's disease, intracytoplasmic neuronal inclusions (Lewy bodies)
containing aggregates of the protein α-synuclein (αS) are deposited in the pigmented nuclei …

Fast multidimensional NMR with a time resolution of a few seconds provides a new tool for
high throughput screening and site-resolved real-time studies of kinetic molecular processes …

Protein-folding intermediates have been implicated in amyloid fibril formation involved in
neurodegenerative disorders. However, the structural mechanisms by which intermediates …

NMR of Paramagnetic Molecules: Applications to Metallobiomolecules and Models, Second
Edition is a self-contained, comprehensive reference for chemists, physicists, and life …