doi.bio/david_baker


David Baker David Baker

Acknowledgements

RoseTTAfold:

RFdiffusion:

Protein binding:

Agonists & logic:

Protein lytacs:

Peptide binding:

DNA binding:

Delivery & vaccine platforms:

Nanopore sensors:

Prediction & design of antibody and TCR binding:

IPD:

Biography

David Baker (born 6 October 1962 in Seattle, Washington) is an American USA biochemist biochemistry and computational biologist computational biology known for his work in protein structure prediction and design. He is currently the Henrietta and Aubrey Davis Endowed Professor in Biochemistry biochemistry and an adjunct professor of adjunct professor genome sciences, bioengineering, chemical engineering, computer science, and physics at the University of Washington UW. He also serves as the director of the Rosetta Commons and the Institute for Protein Design at UW.

Education and Career

Baker received his BA from Harvard University in 1984 and his PhD in Biochemistry from the University of California, Berkeley in 1989, working under Randy Schekman. He then did postdoctoral work in biophysics with David Agard at the University of California, San Francisco.

Baker has been a professor at the University of Washington since 1994 and has held adjunct professorships in various departments since 2000. He has also served as the director of the Institute for Protein Design since its founding in 2003.

Research and Awards

Baker's research focuses on predicting and designing protein structures, protein folding mechanisms, and protein interactions using computational methods. He has developed the Rosetta algorithm for ab initio protein structure prediction, which has been extended into a distributed computing project called Rosetta@Home and Foldit. He has also pioneered methods to predict and design the three-dimensional structures of proteins, for which he received the 2008 Sackler International Prize in Biophysics, the 2021 Breakthrough Prize in Life Sciences, and the 2022 Wiley Prize. He was also awarded the BBVA Foundation Frontiers of Knowledge Award in the category of "Biology and Biomedicine" in 2022.

Baker has published over 600 research papers, co-founded 21 companies, and been awarded more than 100 patents. He was elected to the National Academy of Sciences in 2006 and received the Howard Hughes Medical Institute Investigator Award in 2005. He is also a member of the American Academy of Arts and Sciences and has received numerous other awards for his contributions to the fields of biochemistry and computational biology.

Google Scholar Profile

david baker)

Google Scholar Profile

David Baker)

Google Scholar

David Baker University of Washington http://ipd.uw.edu/ 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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:ilT4-yqG5fgC Cited by: 3649

Protein structure prediction and structural genomics D Baker, A Sali Science 294 (5540), 93-96, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u-x6o8ySG0sC Cited by: 2246

Protein structure prediction and analysis using the Robetta server DE Kim, D Chivian, D Baker Nucleic acids research 32 (suppl2), W526-W531, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationfor_view=UKqIqRsAAAAJ:YsMSGLbcyi4C Cited by: 2179

Protein structure prediction using Rosetta CA Rohl, CEM Strauss, KMS Misura, D Baker Methods in enzymology 383, 66-93, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:2osOgNQ5qMEC Cited by: 2121

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:9yKSN-GCB0IC Cited by: 2062

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:L8Ckcad2t8MC Cited by: 1969

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u5HHmVD_uO8C Cited by: 1867

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:5nxA0vEk-isC Cited by: 1839

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:d1gkVwhDpl0C Cited by: 1725

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:isC4tDSrTZIC Cited by: 1616

Kemp elimination catalysts by computational enzyme design D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, … Nature 453 (7192), 190-195, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:zYLM7Y9cAGgC Cited by: 1538

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:B4ZWgkS8JDEC Cited by: 1487

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:-f6ydRqryjwC Cited by: 1444

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:Tyk-4Ss8FVUC Cited by: 1414

The coming of age of de novo protein design PS Huang, SE Boyken, D Baker Nature 537 (7620), 320-327, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:PHsrdvypza0C Cited by: 1371

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:UeHWp8X0CEIC Cited by: 1330

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:jJKR3fvYV3EC Cited by: 1312

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:cLw937zWwQcC Cited by: 1306

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:U_HPUtbDl20C Cited by: 1159

Toward high-resolution de novo structure prediction for small proteins P Bradley, KMS Misura, D Baker Science 309 (5742), 1868-1871, 2005 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:IjCSPb-OGe4C Cited by: 1120

Co-authors

Will Sheffler T_8K-XEAAAAJ

Philip Bradley -s4m56YAAAAJ

Justin Bloomfield Siegel 2U1xsKwAAAAJ

Tanja Kortemme -JEkXJkAAAAJ

Possu Huang lpPZ3RIAAAAJ

Gaetano T Montelione, Constellation… mrtpF44AAAAJ

Brian Kuhlman nLtVYUwAAAAJ

James Thompson fReANH4AAAAJ

Sarel Fleishman g6h0ATcAAAAJ

Rhiju Das juUEPSAAAAAJ

Charlie E M Strauss g8qO1UEAAAAJ

Sagar Khare 4Y_374oAAAAJ

Firas Khatib 1WSaBBsAAAAJ

Seth Cooper eZr-ai0AAAAJ

Ingemar André gFPAWgMAAAAJ

Chu Wang q6mGKDoAAAAJ

Oliver F Lange 8M-7KQ0AAAAJ

Google Scholar

David Baker University of Washington http://ipd.uw.edu/ 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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:ilT4-yqG5fgC Cited by: 3649

Protein structure prediction and structural genomics D Baker, A Sali Science 294 (5540), 93-96, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u-x6o8ySG0sC Cited by: 2246

Protein structure prediction and analysis using the Robetta server DE Kim, D Chivian, D Baker Nucleic acids research 32 (suppl2), W526-W531, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationfor_view=UKqIqRsAAAAJ:YsMSGLbcyi4C Cited by: 2179

Protein structure prediction using Rosetta CA Rohl, CEM Strauss, KMS Misura, D Baker Methods in enzymology 383, 66-93, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:2osOgNQ5qMEC Cited by: 2121

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:9yKSN-GCB0IC Cited by: 2062

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:L8Ckcad2t8MC Cited by: 1969

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u5HHmVD_uO8C Cited by: 1867

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:5nxA0vEk-isC Cited by: 1839

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:d1gkVwhDpl0C Cited by: 1725

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:isC4tDSrTZIC Cited by: 1616

Kemp elimination catalysts by computational enzyme design D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, … Nature 453 (7192), 190-195, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:zYLM7Y9cAGgC Cited by: 1538

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:B4ZWgkS8JDEC Cited by: 1487

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:-f6ydRqryjwC Cited by: 1444

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:Tyk-4Ss8FVUC Cited by: 1414

The coming of age of de novo protein design PS Huang, SE Boyken, D Baker Nature 537 (7620), 320-327, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:PHsrdvypza0C Cited by: 1371

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:UeHWp8X0CEIC Cited by: 1330

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:jJKR3fvYV3EC Cited by: 1312

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:cLw937zWwQcC Cited by: 1306

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:U_HPUtbDl20C Cited by: 1159

Toward high-resolution de novo structure prediction for small proteins P Bradley, KMS Misura, D Baker Science 309 (5742), 1868-1871, 2005 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:IjCSPb-OGe4C Cited by: 1120

Co-authors

Will Sheffler googlescholarauthorid:T8K-XEAAAAJ

Philip Bradley googlescholarauthor_id:-s4m56YAAAAJ

Justin Bloomfield Siegel googlescholarauthor_id:2U1xsKwAAAAJ

Tanja Kortemme googlescholarauthor_id:-JEkXJkAAAAJ

Possu Huang googlescholarauthor_id:lpPZ3RIAAAAJ

Gaetano T Montelione, Constellation… googlescholarauthor_id:mrtpF44AAAAJ

Brian Kuhlman googlescholarauthor_id:nLtVYUwAAAAJ

James Thompson googlescholarauthor_id:fReANH4AAAAJ

Sarel Fleishman googlescholarauthor_id:g6h0ATcAAAAJ

Rhiju Das googlescholarauthor_id:juUEPSAAAAAJ

Charlie E M Strauss googlescholarauthor_id:g8qO1UEAAAAJ

Sagar Khare googlescholarauthorid:4Y374oAAAAJ

Firas Khatib googlescholarauthor_id:1WSaBBsAAAAJ

Seth Cooper googlescholarauthor_id:eZr-ai0AAAAJ

Ingemar André googlescholarauthor_id:gFPAWgMAAAAJ

Chu Wang googlescholarauthor_id:q6mGKDoAAAAJ

Oliver F Lange googlescholarauthor_id:8M-7KQ0AAAAJ

Google Scholar

David Baker University of Washington http://ipd.uw.edu/ 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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:ilT4-yqG5fgC Cited by: 3649

Protein structure prediction and structural genomics D Baker, A Sali Science 294 (5540), 93-96, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u-x6o8ySG0sC Cited by: 2246

Protein structure prediction and analysis using the Robetta server DE Kim, D Chivian, D Baker Nucleic acids research 32 (suppl2), W526-W531, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationfor_view=UKqIqRsAAAAJ:YsMSGLbcyi4C Cited by: 2179

Protein structure prediction using Rosetta CA Rohl, CEM Strauss, KMS Misura, D Baker Methods in enzymology 383, 66-93, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:2osOgNQ5qMEC Cited by: 2121

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:9yKSN-GCB0IC Cited by: 2062

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:L8Ckcad2t8MC Cited by: 1969

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u5HHmVD_uO8C Cited by: 1867

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:5nxA0vEk-isC Cited by: 1839

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:d1gkVwhDpl0C Cited by: 1725

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:isC4tDSrTZIC Cited by: 1616

Kemp elimination catalysts by computational enzyme design D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, … Nature 453 (7192), 190-195, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:zYLM7Y9cAGgC Cited by: 1538

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:B4ZWgkS8JDEC Cited by: 1487

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:-f6ydRqryjwC Cited by: 1444

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:Tyk-4Ss8FVUC Cited by: 1414

The coming of age of de novo protein design PS Huang, SE Boyken, D Baker Nature 537 (7620), 320-327, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:PHsrdvypza0C Cited by: 1371

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:UeHWp8X0CEIC Cited by: 1330

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:jJKR3fvYV3EC Cited by: 1312

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:cLw937zWwQcC Cited by: 1306

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:U_HPUtbDl20C Cited by: 1159

Toward high-resolution de novo structure prediction for small proteins P Bradley, KMS Misura, D Baker Science 309 (5742), 1868-1871, 2005 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:IjCSPb-OGe4C Cited by: 1120

Co-authors

Will Sheffler googlescholarauthorid:[willsheffler.md][T_8K-XEAAAAJ]

Philip Bradley googlescholarauthorid:[philipbradley.md][-s4m56YAAAAJ]

Justin Bloomfield Siegel googlescholarauthorid:[justinbloomfield_siegel.md][2U1xsKwAAAAJ]

Tanja Kortemme googlescholarauthorid:[tanjakortemme.md][-JEkXJkAAAAJ]

Possu Huang googlescholarauthorid:[possuhuang.md][lpPZ3RIAAAAJ]

Gaetano T Montelione, Constellation… googlescholarauthorid:[gaetanotmontelione,constellation….md][mrtpF44AAAAJ]

Brian Kuhlman googlescholarauthorid:[briankuhlman.md][nLtVYUwAAAAJ]

James Thompson googlescholarauthorid:[jamesthompson.md][fReANH4AAAAJ]

Sarel Fleishman googlescholarauthorid:[sarelfleishman.md][g6h0ATcAAAAJ]

Rhiju Das googlescholarauthorid:[rhijudas.md][juUEPSAAAAAJ]

Charlie E M Strauss googlescholarauthorid:[charlieemstrauss.md][g8qO1UEAAAAJ]

Sagar Khare googlescholarauthorid:[sagarkhare.md][4Y_374oAAAAJ]

Firas Khatib googlescholarauthorid:[firaskhatib.md][1WSaBBsAAAAJ]

Seth Cooper googlescholarauthorid:[sethcooper.md][eZr-ai0AAAAJ]

Ingemar André googlescholarauthorid:[ingemarandré.md][gFPAWgMAAAAJ]

Chu Wang googlescholarauthorid:[chuwang.md][q6mGKDoAAAAJ]

Oliver F Lange googlescholarauthorid:[oliverf_lange.md][8M-7KQ0AAAAJ]

Google Scholar

David Baker University of Washington http://ipd.uw.edu/ 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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:ilT4-yqG5fgC Cited by: 3649

Protein structure prediction and structural genomics D Baker, A Sali Science 294 (5540), 93-96, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u-x6o8ySG0sC Cited by: 2246

Protein structure prediction and analysis using the Robetta server DE Kim, D Chivian, D Baker Nucleic acids research 32 (suppl2), W526-W531, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationfor_view=UKqIqRsAAAAJ:YsMSGLbcyi4C Cited by: 2179

Protein structure prediction using Rosetta CA Rohl, CEM Strauss, KMS Misura, D Baker Methods in enzymology 383, 66-93, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:2osOgNQ5qMEC Cited by: 2121

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:9yKSN-GCB0IC Cited by: 2062

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:L8Ckcad2t8MC Cited by: 1969

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u5HHmVD_uO8C Cited by: 1867

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:5nxA0vEk-isC Cited by: 1839

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:d1gkVwhDpl0C Cited by: 1725

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:isC4tDSrTZIC Cited by: 1616

Kemp elimination catalysts by computational enzyme design D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, … Nature 453 (7192), 190-195, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:zYLM7Y9cAGgC Cited by: 1538

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:B4ZWgkS8JDEC Cited by: 1487

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:-f6ydRqryjwC Cited by: 1444

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:Tyk-4Ss8FVUC Cited by: 1414

The coming of age of de novo protein design PS Huang, SE Boyken, D Baker Nature 537 (7620), 320-327, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:PHsrdvypza0C Cited by: 1371

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:UeHWp8X0CEIC Cited by: 1330

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:jJKR3fvYV3EC Cited by: 1312

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:cLw937zWwQcC Cited by: 1306

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:U_HPUtbDl20C Cited by: 1159

Toward high-resolution de novo structure prediction for small proteins P Bradley, KMS Misura, D Baker Science 309 (5742), 1868-1871, 2005 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:IjCSPb-OGe4C Cited by: 1120

Co-authors

Will Sheffler googlescholarauthorid willsheffler.md:T_8K-XEAAAAJ

Philip Bradley googlescholarauthorid philipbradley.md:-s4m56YAAAAJ

Justin Bloomfield Siegel googlescholarauthorid justinbloomfield_siegel.md:2U1xsKwAAAAJ

Tanja Kortemme googlescholarauthorid tanjakortemme.md:-JEkXJkAAAAJ

Possu Huang googlescholarauthorid possuhuang.md:lpPZ3RIAAAAJ

Gaetano T Montelione, Constellation… googlescholarauthorid gaetanotmontelione,constellation….md:mrtpF44AAAAJ

Brian Kuhlman googlescholarauthorid briankuhlman.md:nLtVYUwAAAAJ

James Thompson googlescholarauthorid jamesthompson.md:fReANH4AAAAJ

Sarel Fleishman googlescholarauthorid sarelfleishman.md:g6h0ATcAAAAJ

Rhiju Das googlescholarauthorid rhijudas.md:juUEPSAAAAAJ

Charlie E M Strauss googlescholarauthorid charlieemstrauss.md:g8qO1UEAAAAJ

Sagar Khare googlescholarauthorid sagarkhare.md:4Y_374oAAAAJ

Firas Khatib googlescholarauthorid firaskhatib.md:1WSaBBsAAAAJ

Seth Cooper googlescholarauthorid sethcooper.md:eZr-ai0AAAAJ

Ingemar André googlescholarauthorid ingemarandré.md:gFPAWgMAAAAJ

Chu Wang googlescholarauthorid chuwang.md:q6mGKDoAAAAJ

Oliver F Lange googlescholarauthorid oliverf_lange.md:8M-7KQ0AAAAJ

Google Scholar

David Baker

University of Washington

http://ipd.uw.edu/

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:ilT4-yqG5fgC

Protein structure prediction and structural genomics D Baker, A Sali Science 294 (5540), 93-96, 2001 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u-x6o8ySG0sC

Protein structure prediction and analysis using the Robetta server DE Kim, D Chivian, D Baker Nucleic acids research 32 (suppl2), W526-W531, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationfor_view=UKqIqRsAAAAJ:YsMSGLbcyi4C

Protein structure prediction using Rosetta CA Rohl, CEM Strauss, KMS Misura, D Baker Methods in enzymology 383, 66-93, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:2osOgNQ5qMEC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:9yKSN-GCB0IC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:L8Ckcad2t8MC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:u5HHmVD_uO8C

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:5nxA0vEk-isC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:d1gkVwhDpl0C

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:isC4tDSrTZIC

Kemp elimination catalysts by computational enzyme design D Röthlisberger, O Khersonsky, AM Wollacott, L Jiang, J DeChancie, … Nature 453 (7192), 190-195, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:zYLM7Y9cAGgC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:B4ZWgkS8JDEC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:-f6ydRqryjwC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:Tyk-4Ss8FVUC

The coming of age of de novo protein design PS Huang, SE Boyken, D Baker Nature 537 (7620), 320-327, 2016 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:PHsrdvypza0C

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:UeHWp8X0CEIC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:jJKR3fvYV3EC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:cLw937zWwQcC

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 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:U_HPUtbDl20C

Toward high-resolution de novo structure prediction for small proteins P Bradley, KMS Misura, D Baker Science 309 (5742), 1868-1871, 2005 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=UKqIqRsAAAAJ&citationforview=UKqIqRsAAAAJ:IjCSPb-OGe4C

Co-authors

Will Sheffler googlescholarauthorid willsheffler.md:T_8K-XEAAAAJ

Philip Bradley googlescholarauthorid philipbradley.md:-s4m56YAAAAJ

Justin Bloomfield Siegel googlescholarauthorid justinbloomfield_siegel.md:2U1xsKwAAAAJ

Tanja Kortemme googlescholarauthorid tanjakortemme.md:-JEkXJkAAAAJ

Possu Huang googlescholarauthorid possuhuang.md:lpPZ3RIAAAAJ

Gaetano T Montelione, Constellation… googlescholarauthorid gaetanotmontelione,constellation….md:mrtpF44AAAAJ

Brian Kuhlman googlescholarauthorid briankuhlman.md:nLtVYUwAAAAJ

James Thompson googlescholarauthorid jamesthompson.md:fReANH4AAAAJ

Sarel Fleishman googlescholarauthorid sarelfleishman.md:g6h0ATcAAAAJ

Rhiju Das googlescholarauthorid rhijudas.md:juUEPSAAAAAJ

Charlie E M Strauss googlescholarauthorid charlieemstrauss.md:g8qO1UEAAAAJ

Sagar Khare googlescholarauthorid sagarkhare.md:4Y_374oAAAAJ

Firas Khatib googlescholarauthorid firaskhatib.md:1WSaBBsAAAAJ

Seth Cooper googlescholarauthorid sethcooper.md:eZr-ai0AAAAJ

Ingemar André googlescholarauthorid ingemarandré.md:gFPAWgMAAAAJ

Chu Wang googlescholarauthorid chuwang.md:q6mGKDoAAAAJ

Oliver F Lange googlescholarauthorid oliverf_lange.md:8M-7KQ0AAAAJ

Youtube Videos

Youtube Title: All DTB Musical Skits Compilation 1

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

All DTB Musical Skits Compilation 1

Youtube Title: The Coming of Age of De Novo Protein Design

Youtube Link: link

Youtube Channel Name: NIH VideoCast

Youtube Channel Link: https://www.youtube.com/@NIHVideoCast

The Coming of Age of De Novo Protein Design

Youtube Title: Worst First Date Ever! (Rap Battle)

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

Worst First Date Ever! (Rap Battle)

Youtube Title: 5 challenges we could solve by designing new proteins | David Baker

Youtube Link: link

Youtube Channel Name: TED

Youtube Channel Link: https://www.youtube.com/@TED

5 challenges we could solve by designing new proteins | David Baker

Youtube Title: EWSC: Protein design using deep learning, David Baker

Youtube Link: link

Youtube Channel Name: Broad Institute

Youtube Channel Link: https://www.youtube.com/@broadinstitute

EWSC: Protein design using deep learning, David Baker

Youtube Title: Halloween Aftermath (Full Video In Description)

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

Halloween Aftermath (Full Video In Description)

Youtube Title: The Drama Presentation

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

The Drama Presentation

Youtube Title: Healing scriptures by David Baker

Youtube Link: link

Youtube Channel Name: TitaniumCat

Youtube Channel Link: https://www.youtube.com/@titaniumcat44

Healing scriptures by David Baker

Youtube Title: David Baker - Screamin' Meemies

Youtube Link: link

Youtube Channel Name: WTIU & WFIU - Indiana Public Media

Youtube Channel Link: https://www.youtube.com/@wtiu

David Baker - Screamin' Meemies

Youtube Title: Worst Thanksgiving Ever!

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

Worst Thanksgiving Ever!

Youtube Title: David Baker April 4, 1976

Youtube Link: link

Youtube Channel Name: WTIU & WFIU - Indiana Public Media

Youtube Channel Link: https://www.youtube.com/@wtiu

David Baker April 4, 1976

Youtube Title: The Imposter Among Us

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

The Imposter Among Us

Youtube Title: The Surprise: Peyton's Former Coaches and David Baker Reveal his HOF Selection

Youtube Link: link

Youtube Channel Name: Indianapolis Colts

Youtube Channel Link: https://www.youtube.com/@colts

The Surprise: Peyton's Former Coaches and David Baker Reveal his HOF Selection

Youtube Title: Employee of the month #comedy

Youtube Link: link

Youtube Channel Name: David The Baker

Youtube Channel Link: https://www.youtube.com/@DavidTheBaker

Employee of the month #comedy

Wikipedia

David Baker

Summary: David Baker may refer to:

URL: https://en.wikipedia.org/wiki/David_Baker

Page ID: 8475162

Categories:

Links:

Content: David Baker may refer to:

Arts and entertainment David Baker (composer) (1931–2016), American symphonic jazz composer David Baker (singer), former lead singer for Mercury Rev David Baker (poet) (born 1954), American poet David Erskine Baker (1730–1767), English drama critic David Aaron Baker (born 1963), American actor and audiobook narrator David Baker (born 1931), Australian film director and writer of Libido David James Baker, American filmmaker

Law and politics David Gordon Baker (1884–1958), justice of the South Carolina Supreme Court David J. Baker (1792–1869), US Senator from Illinois David Hume Baker (1841–1916), state legislator in Kentucky and then Florida David J. Baker Jr. (1834–1899), American judge, son of David J. Baker David L. Baker, justice of the Iowa Supreme Court David Martin Baker (1923–2010), Republican member of West Virginia State House of Delegates Dave Baker (Minnesota politician) (born 1962), Minnesota politician David Baker (activist), American activist and founder of Community Against Pollution Dave Baker (Kansas politician) (born 1955), member of the Kansas House of Representatives

Religion Augustine Baker (1575–1641), English Benedictine mystic, born David Baker David Bristow Baker (1803–1852), English religious writer

Science David Baker (biochemist) (born 1962), American biochemist David H. Baker (animal nutritionist) (1939–2009), American animal nutritionist David Baker (aerospace engineer), aerospace engineer, co-author of the Mars Direct proposal David Baker-Gabb, ornithologist David Baker (author) (born 1944), British space scientist and author

Sports Dave Baker (American football) (1937–2002), American football player Dave Baker (baseball) (born 1956), baseball player David Baker (cricketer, born 1935) (1935–2021), English cricketer David Baker (cricketer, born 1945), English cricketer David Baker (cyclist) (born 1965), British Olympic mountainbike racer David Baker (track cyclist) (born 1965), English Commonwealth Games cyclist Paul Baker (footballer) (David Paul Baker, born 1963), English professional footballer C. David Baker (born 1953), former President & CEO of the Pro Football Hall of Fame; former commissioner of the Arena Football League

Other David Baker (architect) (born 1949), American architect David Baker (academic and musician) (born 1952), British academic librarian and organist David William Baker (born 1959), British businessman David Baker (detective), introductory use of DNA profiling David ODB Baker (born 1972), American professional poker player David Bakes Baker (born 1986), American professional poker player