SummaryNuclear magnetic resonance paramagnetic relaxation enhancement (PRE) measures long-range distances to isotopically labeled residues, providing useful constraints for protein structure prediction. The method usually requires labor-intensive conjugation of nitroxide labels to multiple locations on the protein, one at a time. Here a computational procedure, based on protein sequence and simple secondary structure models, is presented to facilitate optimal placement of a minimum number of labels needed to determine the correct topology of a helical transmembrane protein. Tests on DsbB (four helices) using just one label lead to correct topology predictions in four of five cases, with the predicted structures <6 Å to the native structure....
A daring experiment is performed. Using sequence alignments to predict contacts between residues in ...
Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient trai...
Membrane proteins, which constitute approximately 20% of most genomes, are poorly tractable targets ...
SummaryNuclear magnetic resonance paramagnetic relaxation enhancement (PRE) measures long-range dist...
SummaryNuclear magnetic resonance (NMR) structure calculations of the α-helical integral membrane pr...
Previously, we introduced a neural network system predicting locations of transmembrane helices (HTM...
SummaryWe show that amino acid covariation in proteins, extracted from the evolutionary sequence rec...
We critically test and validate the CS‐Rosetta methodology for de novo structure prediction of α‐hel...
SummaryMembrane protein structure determination remains a challenging endeavor. Computational method...
AbstractIntegral membrane proteins pose a major challenge for protein-structure prediction because o...
AbstractThough challenging, solution NMR spectroscopy allows fundamental interrogation of the struct...
AbstractThe field of protein structure prediction has seen significant advances in recent years. Res...
It has been shown that the progress in the determination of membrane protein structure grows exponen...
Several hundred solid state NMR dipolar couplings and chemical shift anisotropies were simulated for...
It has been shown that the progress in the determination of membrane protein structure grows exponen...
A daring experiment is performed. Using sequence alignments to predict contacts between residues in ...
Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient trai...
Membrane proteins, which constitute approximately 20% of most genomes, are poorly tractable targets ...
SummaryNuclear magnetic resonance paramagnetic relaxation enhancement (PRE) measures long-range dist...
SummaryNuclear magnetic resonance (NMR) structure calculations of the α-helical integral membrane pr...
Previously, we introduced a neural network system predicting locations of transmembrane helices (HTM...
SummaryWe show that amino acid covariation in proteins, extracted from the evolutionary sequence rec...
We critically test and validate the CS‐Rosetta methodology for de novo structure prediction of α‐hel...
SummaryMembrane protein structure determination remains a challenging endeavor. Computational method...
AbstractIntegral membrane proteins pose a major challenge for protein-structure prediction because o...
AbstractThough challenging, solution NMR spectroscopy allows fundamental interrogation of the struct...
AbstractThe field of protein structure prediction has seen significant advances in recent years. Res...
It has been shown that the progress in the determination of membrane protein structure grows exponen...
Several hundred solid state NMR dipolar couplings and chemical shift anisotropies were simulated for...
It has been shown that the progress in the determination of membrane protein structure grows exponen...
A daring experiment is performed. Using sequence alignments to predict contacts between residues in ...
Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient trai...
Membrane proteins, which constitute approximately 20% of most genomes, are poorly tractable targets ...