David Baker
David Baker
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Cited by
Cited by
Accurate prediction of protein structures and interactions using a three-track neural network
M Baek, F DiMaio, I Anishchenko, J Dauparas, S Ovchinnikov, GR Lee, ...
Science 373 (6557), 871-876, 2021
Protein structure prediction and structural genomics
D Baker, A Sali
Science 294 (5540), 93-96, 2001
Protein structure prediction and analysis using the Robetta server
DE Kim, D Chivian, D Baker
Nucleic acids research 32 (suppl_2), W526-W531, 2004
Protein structure prediction using Rosetta
CA Rohl, CEM Strauss, KMS Misura, D Baker
Methods in enzymology 383, 66-93, 2004
Design of a novel globular protein fold with atomic-level accuracy
B Kuhlman, G Dantas, GC Ireton, G Varani, BL Stoddard, D Baker
science 302 (5649), 1364-1368, 2003
ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules
A Leaver-Fay, M Tyka, SM Lewis, OF Lange, J Thompson, R Jacak, ...
Methods in enzymology 487, 545-574, 2011
Contact order, transition state placement and the refolding rates of single domain proteins
KW Plaxco, KT Simons, D Baker
Journal of molecular biology 277 (4), 985-994, 1998
Predicting protein structures with a multiplayer online game
S Cooper, F Khatib, A Treuille, J Barbero, J Lee, M Beenen, A Leaver-Fay, ...
Nature 466 (7307), 756-760, 2010
Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions
KT Simons, C Kooperberg, E Huang, D Baker
Journal of molecular biology 268 (1), 209-225, 1997
Quantitative reactivity profiling predicts functional cysteines in proteomes
E Weerapana, C Wang, GM Simon, F Richter, S Khare, MBD Dillon, ...
Nature 468 (7325), 790-795, 2010
Kemp elimination catalysts by computational enzyme design
D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, ...
Nature 453 (7192), 190-195, 2008
The EAACI/GA2LEN/EDF/WAO Guideline for the definition, classification, diagnosis, and management of urticaria: the 2013 revision and update
T Zuberbier, W Aberer, R Asero, C Bindslev‐Jensen, Z Brzoza, ...
Allergy 69 (7), 868-887, 2014
Improving physical realism, stereochemistry, and side‐chain accuracy in homology modeling: four approaches that performed well in CASP8
E Krieger, K Joo, J Lee, J Lee, S Raman, J Thompson, M Tyka, D Baker, ...
Proteins: Structure, Function, and Bioinformatics 77 (S9), 114-122, 2009
De novo computational design of retro-aldol enzymes
L Jiang, EA Althoff, FR Clemente, L Doyle, D Rothlisberger, A Zanghellini, ...
science 319 (5868), 1387-1391, 2008
The coming of age of de novo protein design
PS Huang, SE Boyken, D Baker
Nature 537 (7620), 320-327, 2016
Protein–protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations
JJ Gray, S Moughon, C Wang, O Schueler-Furman, B Kuhlman, CA Rohl, ...
Journal of molecular biology 331 (1), 281-299, 2003
Improved protein structure prediction using predicted interresidue orientations
J Yang, I Anishchenko, H Park, Z Peng, S Ovchinnikov, D Baker
Proceedings of the National Academy of Sciences 117 (3), 1496-1503, 2020
The Rosetta all-atom energy function for macromolecular modeling and design
RF Alford, A Leaver-Fay, JR Jeliazkov, MJ O’Meara, FP DiMaio, H Park, ...
Journal of chemical theory and computation 13 (6), 3031-3048, 2017
High-resolution comparative modeling with RosettaCM
Y Song, F DiMaio, RYR Wang, D Kim, C Miles, TJ Brunette, J Thompson, ...
Structure 21 (10), 1735-1742, 2013
Toward high-resolution de novo structure prediction for small proteins
P Bradley, KMS Misura, D Baker
Science 309 (5742), 1868-1871, 2005
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