Identification of helix capping and β-turn motifs from NMR chemical shifts

SHIFTX2: significantly improved protein chemical shift prediction

(2011) Beomsoo Han et al.   JOURNAL OF BIOMOLECULAR NMR

Determination of the Structures of Symmetric Protein Oligomers from NMR Chemical Shifts and Residual Dipolar Couplings

(2011) Nikolaos G. Sgourakis et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network

(2010) Yang Shen et al.   JOURNAL OF BIOMOLECULAR NMR

Interpreting protein chemical shift data

(2010) David S. Wishart   PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY

De novo structure generation using chemical shifts for proteins with high-sequence identity but different folds

(2010) Yang Shen et al.   PROTEIN SCIENCE

Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts

(2009) Yang Shen et al.   JOURNAL OF BIOMOLECULAR NMR

TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts

(2009) Yang Shen et al.   JOURNAL OF BIOMOLECULAR NMR

A minimal sequence code for switching protein structure and function

(2009) Patrick A. Alexander et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Macromolecular Modeling with Rosetta

(2008) Rhiju Das et al.   Annual Review of Biochemistry

Prediction of β-turns and β-turn types by a novel bidirectional Elman-type recurrent neural network with multiple output layers (MOLEBRNN)

(2008) Andreas Kirschner et al.   GENE

De novo protein structure generation from incomplete chemical shift assignments

(2008) Yang Shen et al.   JOURNAL OF BIOMOLECULAR NMR

Quantum chemical 13C  chemical shift calculations for protein NMR structure determination, refinement, and validation

(2008) J. A. Vila et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Consistent blind protein structure generation from NMR chemical shift data

(2008) Y. Shen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA