| TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts Y Shen, F Delaglio, G Cornilescu, A Bax Journal of biomolecular NMR 44 (4), 213-223, 2009 | 2348 | 2009 |
| Consistent blind protein structure generation from NMR chemical shift data Y Shen, O Lange, F Delaglio, P Rossi, JM Aramini, G Liu, A Eletsky, Y Wu, ... Proceedings of the National Academy of Sciences 105 (12), 4685-4690, 2008 | 799 | 2008 |
| Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks Y Shen, A Bax Journal of biomolecular NMR 56 (3), 227-241, 2013 | 684 | 2013 |
| SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network Y Shen, A Bax Journal of biomolecular NMR 48 (1), 13-22, 2010 | 407 | 2010 |
| Protein backbone chemical shifts predicted from searching a database for torsion angle and sequence homology Y Shen, A Bax Journal of biomolecular NMR 38 (4), 289-302, 2007 | 326 | 2007 |
| De novo protein structure generation from incomplete chemical shift assignments Y Shen, R Vernon, D Baker, A Bax Journal of biomolecular NMR 43 (2), 63-78, 2009 | 262 | 2009 |
| Simultaneous prediction of protein folding and docking at high resolution R Das, I André, Y Shen, Y Wu, A Lemak, S Bansal, CH Arrowsmith, ... Proceedings of the National Academy of Sciences 106 (45), 18978-18983, 2009 | 142 | 2009 |
| NMR data collection and analysis protocol for high-throughput protein structure determination G Liu, Y Shen, HS Atreya, D Parish, Y Shao, DK Sukumaran, R Xiao, ... Proceedings of the National Academy of Sciences 102 (30), 10487-10492, 2005 | 130 | 2005 |
| Monomeric Aβ1–40 and Aβ1–42 Peptides in Solution Adopt Very Similar Ramachandran Map Distributions That Closely Resemble Random Coil J Roche, Y Shen, JH Lee, J Ying, A Bax Biochemistry 55 (5), 762-775, 2016 | 122 | 2016 |
| Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts Y Shen, A Bax Journal of biomolecular NMR 46 (3), 199-204, 2010 | 117 | 2010 |
| Protein Structural Information Derived from NMR Chemical Shift with the Neural Network Program TALOS-N Y Shen, A Bax Artificial neural networks, 17-32, 2015 | 110 | 2015 |
| Identification of helix capping and β-turn motifs from NMR chemical shifts Y Shen, A Bax Journal of biomolecular NMR 52 (3), 211-232, 2012 | 76 | 2012 |
| G-matrix Fourier transform NOESY-based protocol for high-quality protein structure determination Y Shen, HS Atreya, G Liu, T Szyperski Journal of the American Chemical Society 127 (25), 9085-9099, 2005 | 62 | 2005 |
| De novo structure generation using chemical shifts for proteins with high‐sequence identity but different folds Y Shen, PN Bryan, Y He, J Orban, D Baker, A Bax Protein Science 19 (2), 349-356, 2010 | 59 | 2010 |
| A maximum entropy approach to the study of residue‐specific backbone angle distributions in α‐synuclein, an intrinsically disordered protein AB Mantsyzov, AS Maltsev, J Ying, Y Shen, G Hummer, A Bax Protein Science 23 (9), 1275-1290, 2014 | 57 | 2014 |
| Building native protein conformation from NMR backbone chemical shifts using Monte Carlo fragment assembly H Gong, Y Shen, GD Rose Protein Science 16 (8), 1515-1521, 2007 | 39 | 2007 |
| Homology modeling of larger proteins guided by chemical shifts Y Shen, A Bax Nature Methods 12, 747–750, 2015 | 38 | 2015 |
| Improved chemical shift based fragment selection for CS-Rosetta using Rosetta3 fragment picker R Vernon, Y Shen, D Baker, OF Lange Journal of biomolecular NMR 57 (2), 117-127, 2013 | 37 | 2013 |
| MERA: a webserver for evaluating backbone torsion angle distributions in dynamic and disordered proteins from NMR data AB Mantsyzov, Y Shen, JH Lee, G Hummer, A Bax Journal of biomolecular NMR 63 (1), 85-95, 2015 | 34 | 2015 |
| Simultaneous quantitative UV spectrophotometric determination of multicomponents of amino acids using linear neural network C Yin, Y Shen, S Liu, Q Yin, W Guo, Z Pan Computers & chemistry 25 (3), 239-243, 2001 | 33 | 2001 |
Ad BaxSenior Investigator, Laboratory of Chemical Physics, NIDDK, NIHVerified email at nih.gov
