Frontiers in Protein Structure Research (MDPI - Multidisciplinary Digital Publishing Institute, 2023)
Keywords: alphafold; amino acid composition; analytical ultracentrifugation; B.1.1.7; B.1.617.2; bidirectional long-short term memory; bifidobacteria; Biology, life sciences; C1q; calcium binding proteins; CASP; circular dichroism; co-translational protein folding; CO2 concentrating mechanism; coarse-grained modeling; complex structure; configurational entropy; conserved domains; contact; convolutional neural network; COVID-19; cysteine reactivity; dataset; deep learning; deep sequencing; diffusion-ordered NMR spectroscopy; distance; E484Q; electrospray ionization mass spectrometry; energy-dependent protein folding; entropy; erythrocyte membrane; erythrocytes; FK506-binding protein; FKBP12; FKBP51; force fields; free energy; free energy landscape; fucose; fucosidases; galactose; GalNAc; genetic variation; germline TP53 missense variants; GlcNAc; glucose; glucuronate; glutathione; glutathionylation; glycosyl hydrolases; hereditary breast cancer; high hydrostatic pressure; homotetramer; human milk; hydrogen/deuterium exchange; iduronate; inter-subunit interaction; intrinsically disordered; intrinsically disordered proteins; Keap1; Li-Fraumeni syndrome; manganese; mannose; mass spectrometry; Mathematics and Science; metalloprotein; molecular chaperones; multiscale modeling; mutual synergetic folding; n/a; N501Y mutation; Neu5Ac; nitrosylation; NMR; Nrf2; nuclear magnetic resonance spectroscopy; otoconia; OTOL1; otolin-1; oxidative folding; oxidative stress; phosphorylation; photosynthesis; physical model of protein folding; prediction; ProSPr; protein; protein conformation; protein dynamics; protein folding; protein-protein interactions; protein–ligand interactions; protein–protein binding; protein–protein complex; quantitative prediction model; Reference, Information and Interdisciplinary subjects; Research and information: general; residue packing; retardants