Professor Sandor Vajda is a Professor of Biomedical Engineering and Chemistry at Boston University. He is also the director of the Biomolecular Engineering Research Center (also known as the Structural Bioinformatics Lab) at BU. His lab combines mathematical and computational tools to explore molecular interactions, with a focus on protein-protein and protein-ligand interactions.
Vajda received an M.S. in Electrical Engineering in Moscow, Russia, and an M.Sc. in Applied Mathematics and a Ph.D. in Chemistry, both in Budapest, Hungary.
Vajda has held research positions at the University of Warwick, England, and Princeton University. He was also on the faculty of the Eotvos Lorand University, Budapest, Hungary, and the Mount Sinai School of Medicine, New York, NY. He is currently the CSO of drug discovery software development startup, Acpharis Inc.
Vajda's research focuses on molecular recognition using computational bioengineering approaches. By studying protein-protein interactions and protein-ligand interactions, his lab develops computational software for protein engineering and drug design.
Vajda has numerous publications in the field of computational biology, protein interactions, and drug design. Some notable publications include:
Sandor Vajda Professor of Biomedical Engineering, Boston University https://www.bu.edu/eng/profile/sandor-vajda-ph-d/ The ClusPro web server for protein–protein docking D Kozakov, DR Hall, B Xia, KA Porter, D Padhorny, C Yueh, D Beglov, … Nature protocols 12 (2), 255-278, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:B9zx5l6rxUEC Cited by: 2493
ClusPro: an automated docking and discrimination method for the prediction of protein complexes SR Comeau, DW Gatchell, S Vajda, CJ Camacho Bioinformatics 20 (1), 45-50, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u-x6o8ySG0sC Cited by: 1071
PIPER: an FFT‐based protein docking program with pairwise potentials D Kozakov, R Brenke, SR Comeau, S Vajda Proteins: Structure, Function, and Bioinformatics 65 (2), 392-406, 2006 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:UeHWp8X0CEIC Cited by: 1014
ClusPro: a fully automated algorithm for protein–protein docking SR Comeau, DW Gatchell, S Vajda, CJ Camacho Nucleic acids research 32 (suppl2), W96-W99, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=_gYtig8AAAAJ:9yKSN-GCB0IC Cited by: 978
CAPRI: a critical assessment of predicted interactions J Janin, K Henrick, J Moult, LT Eyck, MJE Sternberg, S Vajda, I Vakser, … Proteins: Structure, Function, and Bioinformatics 52 (1), 2-9, 2003 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u5HHmVD_uO8C Cited by: 787
How good is automated protein docking? D Kozakov, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, S Vajda Proteins: Structure, Function, and Bioinformatics 81 (12), 2159-2166, 2013 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:XoXfffV-tXoC Cited by: 768
The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins D Kozakov, LE Grove, DR Hall, T Bohnuud, SE Mottarella, L Luo, B Xia, … Nature protocols 10 (5), 733-755, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LhH-TYMQEocC Cited by: 585
Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques R Brenke, D Kozakov, GY Chuang, D Beglov, D Hall, MR Landon, … Bioinformatics 25 (5), 621-627, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LkGwnXOMwfcC Cited by: 513
Principal component analysis of kinetic models S Vajda, P Valko, T Turanyi International Journal of Chemical Kinetics 17 (1), 55-81, 1985 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LPZeul_q3PIC Cited by: 510
New additions to the C lus P ro server motivated by CAPRI S Vajda, C Yueh, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, … Proteins: Structure, Function, and Bioinformatics 85 (3), 435-444, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:JNgBMBbBnUoC Cited by: 490
Anchor residues in protein–protein interactions D Rajamani, S Thiel, S Vajda, CJ Camacho Proceedings of the National Academy of Sciences 101 (31), 11287-11292, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:d1gkVwhDpl0C Cited by: 439
Performance and its limits in rigid body protein-protein docking IT Desta, KA Porter, B Xia, D Kozakov, S Vajda Structure 28 (9), 1071-1081. e3, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:kuAnG0LXj_AC Cited by: 435
How proteins bind macrocycles EA Villar, D Beglov, S Chennamadhavuni, JA Porco Jr, D Kozakov, … Nature chemical biology 10 (9), 723-731, 2014 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:_5tno0g5mFcC Cited by: 405
Similarity transformation approach to structural identifiability of nonlinear compartmental models S Vajda, KR Godfrey, H Rabitz Math. Biosci 93 (2), 217-248, 1989 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:olpn-zPbct0C Cited by: 315
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, … Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:MXK_kJrjxJIC Cited by: 294
Structural conservation of druggable hot spots in protein–protein interfaces D Kozakov, DR Hall, GY Chuang, R Cencic, R Brenke, LE Grove, … Proceedings of the National Academy of Sciences 108 (33), 13528-13533, 2011 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:mB3voiENLucC Cited by: 275
Convergence and combination of methods in protein–protein docking S Vajda, D Kozakov Current opinion in structural biology 19 (2), 164-170, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:ufrVoPGSRksC Cited by: 268
FTSite: high accuracy detection of ligand binding sites on unbound protein structures CH Ngan, DR Hall, B Zerbe, LE Grove, D Kozakov, S Vajda Bioinformatics 28 (2), 286-287, 2012 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:SeFeTyx0c_EC Cited by: 259
Accelerating and focusing protein–protein docking correlations using multi-dimensional rotational FFT generating functions DW Ritchie, D Kozakov, S Vajda Bioinformatics 24 (17), 1865-1873, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:hqOjcs7Dif8C Cited by: 256
Free energy landscapes of encounter complexes in protein-protein association CJ Camacho, Z Weng, S Vajda, C DeLisi Biophysical journal 76 (3), 1166-1178, 1999 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:2osOgNQ5qMEC Cited by: 250
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Sandor Vajda Professor of Biomedical Engineering, Boston University https://www.bu.edu/eng/profile/sandor-vajda-ph-d/ The ClusPro web server for protein–protein docking D Kozakov, DR Hall, B Xia, KA Porter, D Padhorny, C Yueh, D Beglov, … Nature protocols 12 (2), 255-278, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:B9zx5l6rxUEC Cited by: 2493
ClusPro: an automated docking and discrimination method for the prediction of protein complexes SR Comeau, DW Gatchell, S Vajda, CJ Camacho Bioinformatics 20 (1), 45-50, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u-x6o8ySG0sC Cited by: 1071
PIPER: an FFT‐based protein docking program with pairwise potentials D Kozakov, R Brenke, SR Comeau, S Vajda Proteins: Structure, Function, and Bioinformatics 65 (2), 392-406, 2006 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:UeHWp8X0CEIC Cited by: 1014
ClusPro: a fully automated algorithm for protein–protein docking SR Comeau, DW Gatchell, S Vajda, CJ Camacho Nucleic acids research 32 (suppl2), W96-W99, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=_gYtig8AAAAJ:9yKSN-GCB0IC Cited by: 978
CAPRI: a critical assessment of predicted interactions J Janin, K Henrick, J Moult, LT Eyck, MJE Sternberg, S Vajda, I Vakser, … Proteins: Structure, Function, and Bioinformatics 52 (1), 2-9, 2003 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u5HHmVD_uO8C Cited by: 787
How good is automated protein docking? D Kozakov, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, S Vajda Proteins: Structure, Function, and Bioinformatics 81 (12), 2159-2166, 2013 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:XoXfffV-tXoC Cited by: 768
The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins D Kozakov, LE Grove, DR Hall, T Bohnuud, SE Mottarella, L Luo, B Xia, … Nature protocols 10 (5), 733-755, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LhH-TYMQEocC Cited by: 585
Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques R Brenke, D Kozakov, GY Chuang, D Beglov, D Hall, MR Landon, … Bioinformatics 25 (5), 621-627, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LkGwnXOMwfcC Cited by: 513
Principal component analysis of kinetic models S Vajda, P Valko, T Turanyi International Journal of Chemical Kinetics 17 (1), 55-81, 1985 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LPZeul_q3PIC Cited by: 510
New additions to the C lus P ro server motivated by CAPRI S Vajda, C Yueh, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, … Proteins: Structure, Function, and Bioinformatics 85 (3), 435-444, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:JNgBMBbBnUoC Cited by: 490
Anchor residues in protein–protein interactions D Rajamani, S Thiel, S Vajda, CJ Camacho Proceedings of the National Academy of Sciences 101 (31), 11287-11292, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:d1gkVwhDpl0C Cited by: 439
Performance and its limits in rigid body protein-protein docking IT Desta, KA Porter, B Xia, D Kozakov, S Vajda Structure 28 (9), 1071-1081. e3, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:kuAnG0LXj_AC Cited by: 435
How proteins bind macrocycles EA Villar, D Beglov, S Chennamadhavuni, JA Porco Jr, D Kozakov, … Nature chemical biology 10 (9), 723-731, 2014 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:_5tno0g5mFcC Cited by: 405
Similarity transformation approach to structural identifiability of nonlinear compartmental models S Vajda, KR Godfrey, H Rabitz Math. Biosci 93 (2), 217-248, 1989 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:olpn-zPbct0C Cited by: 315
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, … Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:MXK_kJrjxJIC Cited by: 294
Structural conservation of druggable hot spots in protein–protein interfaces D Kozakov, DR Hall, GY Chuang, R Cencic, R Brenke, LE Grove, … Proceedings of the National Academy of Sciences 108 (33), 13528-13533, 2011 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:mB3voiENLucC Cited by: 275
Convergence and combination of methods in protein–protein docking S Vajda, D Kozakov Current opinion in structural biology 19 (2), 164-170, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:ufrVoPGSRksC Cited by: 268
FTSite: high accuracy detection of ligand binding sites on unbound protein structures CH Ngan, DR Hall, B Zerbe, LE Grove, D Kozakov, S Vajda Bioinformatics 28 (2), 286-287, 2012 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:SeFeTyx0c_EC Cited by: 259
Accelerating and focusing protein–protein docking correlations using multi-dimensional rotational FFT generating functions DW Ritchie, D Kozakov, S Vajda Bioinformatics 24 (17), 1865-1873, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:hqOjcs7Dif8C Cited by: 256
Free energy landscapes of encounter complexes in protein-protein association CJ Camacho, Z Weng, S Vajda, C DeLisi Biophysical journal 76 (3), 1166-1178, 1999 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:2osOgNQ5qMEC Cited by: 250
Dima Kozakov googlescholarauthor_id:Q09kankAAAAJ
David R. Hall googlescholarauthorid:Ev9GCEAAAAJ
Adrian Whitty googlescholarauthor_id:huztIfMAAAAJ
Ioannis Ch. Paschalidis googlescholarauthorid:EshZ0QAAAAJ
Pirooz Vakili googlescholarauthor_id:xTLyEI4AAAAJ
P P Valko googlescholarauthor_id:7DUMmEwAAAAJ
Gwo-Yu Chuang googlescholarauthor_id:rczIBLMAAAAJ
Tanggis Bohnuud googlescholarauthor_id:mvh0lmIAAAAJ
Chi Ho Ngan googlescholarauthor_id:NwfavskAAAAJ
HERSCHEL A. RABITZ googlescholarauthor_id:LI4tzS0AAAAJ
Zhiping Weng googlescholarauthor_id:-o3I0zUAAAAJ
Yang Shen googlescholarauthor_id:0M0vGccAAAAJ
Karl H. Clodfelter googlescholarauthor_id:SzrKnfUAAAAJ
Michael Silberstein googlescholarauthor_id:Yg6y06EAAAAJ
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Sandor Vajda Professor of Biomedical Engineering, Boston University https://www.bu.edu/eng/profile/sandor-vajda-ph-d/ The ClusPro web server for protein–protein docking D Kozakov, DR Hall, B Xia, KA Porter, D Padhorny, C Yueh, D Beglov, … Nature protocols 12 (2), 255-278, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:B9zx5l6rxUEC Cited by: 2493
ClusPro: an automated docking and discrimination method for the prediction of protein complexes SR Comeau, DW Gatchell, S Vajda, CJ Camacho Bioinformatics 20 (1), 45-50, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u-x6o8ySG0sC Cited by: 1071
PIPER: an FFT‐based protein docking program with pairwise potentials D Kozakov, R Brenke, SR Comeau, S Vajda Proteins: Structure, Function, and Bioinformatics 65 (2), 392-406, 2006 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:UeHWp8X0CEIC Cited by: 1014
ClusPro: a fully automated algorithm for protein–protein docking SR Comeau, DW Gatchell, S Vajda, CJ Camacho Nucleic acids research 32 (suppl2), W96-W99, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=_gYtig8AAAAJ:9yKSN-GCB0IC Cited by: 978
CAPRI: a critical assessment of predicted interactions J Janin, K Henrick, J Moult, LT Eyck, MJE Sternberg, S Vajda, I Vakser, … Proteins: Structure, Function, and Bioinformatics 52 (1), 2-9, 2003 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u5HHmVD_uO8C Cited by: 787
How good is automated protein docking? D Kozakov, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, S Vajda Proteins: Structure, Function, and Bioinformatics 81 (12), 2159-2166, 2013 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:XoXfffV-tXoC Cited by: 768
The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins D Kozakov, LE Grove, DR Hall, T Bohnuud, SE Mottarella, L Luo, B Xia, … Nature protocols 10 (5), 733-755, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LhH-TYMQEocC Cited by: 585
Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques R Brenke, D Kozakov, GY Chuang, D Beglov, D Hall, MR Landon, … Bioinformatics 25 (5), 621-627, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LkGwnXOMwfcC Cited by: 513
Principal component analysis of kinetic models S Vajda, P Valko, T Turanyi International Journal of Chemical Kinetics 17 (1), 55-81, 1985 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LPZeul_q3PIC Cited by: 510
New additions to the C lus P ro server motivated by CAPRI S Vajda, C Yueh, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, … Proteins: Structure, Function, and Bioinformatics 85 (3), 435-444, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:JNgBMBbBnUoC Cited by: 490
Anchor residues in protein–protein interactions D Rajamani, S Thiel, S Vajda, CJ Camacho Proceedings of the National Academy of Sciences 101 (31), 11287-11292, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:d1gkVwhDpl0C Cited by: 439
Performance and its limits in rigid body protein-protein docking IT Desta, KA Porter, B Xia, D Kozakov, S Vajda Structure 28 (9), 1071-1081. e3, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:kuAnG0LXj_AC Cited by: 435
How proteins bind macrocycles EA Villar, D Beglov, S Chennamadhavuni, JA Porco Jr, D Kozakov, … Nature chemical biology 10 (9), 723-731, 2014 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:_5tno0g5mFcC Cited by: 405
Similarity transformation approach to structural identifiability of nonlinear compartmental models S Vajda, KR Godfrey, H Rabitz Math. Biosci 93 (2), 217-248, 1989 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:olpn-zPbct0C Cited by: 315
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, … Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:MXK_kJrjxJIC Cited by: 294
Structural conservation of druggable hot spots in protein–protein interfaces D Kozakov, DR Hall, GY Chuang, R Cencic, R Brenke, LE Grove, … Proceedings of the National Academy of Sciences 108 (33), 13528-13533, 2011 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:mB3voiENLucC Cited by: 275
Convergence and combination of methods in protein–protein docking S Vajda, D Kozakov Current opinion in structural biology 19 (2), 164-170, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:ufrVoPGSRksC Cited by: 268
FTSite: high accuracy detection of ligand binding sites on unbound protein structures CH Ngan, DR Hall, B Zerbe, LE Grove, D Kozakov, S Vajda Bioinformatics 28 (2), 286-287, 2012 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:SeFeTyx0c_EC Cited by: 259
Accelerating and focusing protein–protein docking correlations using multi-dimensional rotational FFT generating functions DW Ritchie, D Kozakov, S Vajda Bioinformatics 24 (17), 1865-1873, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:hqOjcs7Dif8C Cited by: 256
Free energy landscapes of encounter complexes in protein-protein association CJ Camacho, Z Weng, S Vajda, C DeLisi Biophysical journal 76 (3), 1166-1178, 1999 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:2osOgNQ5qMEC Cited by: 250
Dima Kozakov googlescholarauthorid dimakozakov.md:Q09kankAAAAJ
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Adrian Whitty googlescholarauthorid adrianwhitty.md:huztIfMAAAAJ
Ioannis Ch. Paschalidis googlescholarauthorid ioannisch.paschalidis.md:EshZ0QAAAAJ
Pirooz Vakili googlescholarauthorid piroozvakili.md:xTLyEI4AAAAJ
P P Valko googlescholarauthorid pp_valko.md:7DUMmEwAAAAJ
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Ora Schueler-Furman googlescholarauthorid oraschueler-furman.md:lLCkUlsAAAAJ
Karen N. Allen googlescholarauthorid karenn._allen.md:hYg242wAAAAJ
Tamas Turanyi googlescholarauthorid tamasturanyi.md:805B8AsAAAAJ
David Ritchie googlescholarauthorid davidritchie.md:fUBkvj4AAAAJ
Kim Henrick googlescholarauthorid kimhenrick.md:RPMBVlsAAAAJ
Michael Pollastri googlescholarauthorid michaelpollastri.md:dNYPTBUAAAAJ
Sandor Vajda
Professor of Biomedical Engineering, Boston University
https://www.bu.edu/eng/profile/sandor-vajda-ph-d/
The ClusPro web server for protein–protein docking D Kozakov, DR Hall, B Xia, KA Porter, D Padhorny, C Yueh, D Beglov, … Nature protocols 12 (2), 255-278, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:B9zx5l6rxUEC
ClusPro: an automated docking and discrimination method for the prediction of protein complexes SR Comeau, DW Gatchell, S Vajda, CJ Camacho Bioinformatics 20 (1), 45-50, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u-x6o8ySG0sC
PIPER: an FFT‐based protein docking program with pairwise potentials D Kozakov, R Brenke, SR Comeau, S Vajda Proteins: Structure, Function, and Bioinformatics 65 (2), 392-406, 2006 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:UeHWp8X0CEIC
ClusPro: a fully automated algorithm for protein–protein docking SR Comeau, DW Gatchell, S Vajda, CJ Camacho Nucleic acids research 32 (suppl2), W96-W99, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=_gYtig8AAAAJ:9yKSN-GCB0IC
CAPRI: a critical assessment of predicted interactions J Janin, K Henrick, J Moult, LT Eyck, MJE Sternberg, S Vajda, I Vakser, … Proteins: Structure, Function, and Bioinformatics 52 (1), 2-9, 2003 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:u5HHmVD_uO8C
How good is automated protein docking? D Kozakov, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, S Vajda Proteins: Structure, Function, and Bioinformatics 81 (12), 2159-2166, 2013 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:XoXfffV-tXoC
The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins D Kozakov, LE Grove, DR Hall, T Bohnuud, SE Mottarella, L Luo, B Xia, … Nature protocols 10 (5), 733-755, 2015 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LhH-TYMQEocC
Fragment-based identification of druggable ‘hot spots’ of proteins using Fourier domain correlation techniques R Brenke, D Kozakov, GY Chuang, D Beglov, D Hall, MR Landon, … Bioinformatics 25 (5), 621-627, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LkGwnXOMwfcC
Principal component analysis of kinetic models S Vajda, P Valko, T Turanyi International Journal of Chemical Kinetics 17 (1), 55-81, 1985 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:LPZeul_q3PIC
New additions to the C lus P ro server motivated by CAPRI S Vajda, C Yueh, D Beglov, T Bohnuud, SE Mottarella, B Xia, DR Hall, … Proteins: Structure, Function, and Bioinformatics 85 (3), 435-444, 2017 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:JNgBMBbBnUoC
Anchor residues in protein–protein interactions D Rajamani, S Thiel, S Vajda, CJ Camacho Proceedings of the National Academy of Sciences 101 (31), 11287-11292, 2004 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:d1gkVwhDpl0C
Performance and its limits in rigid body protein-protein docking IT Desta, KA Porter, B Xia, D Kozakov, S Vajda Structure 28 (9), 1071-1081. e3, 2020 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:kuAnG0LXj_AC
How proteins bind macrocycles EA Villar, D Beglov, S Chennamadhavuni, JA Porco Jr, D Kozakov, … Nature chemical biology 10 (9), 723-731, 2014 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:_5tno0g5mFcC
Similarity transformation approach to structural identifiability of nonlinear compartmental models S Vajda, KR Godfrey, H Rabitz Math. Biosci 93 (2), 217-248, 1989 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:olpn-zPbct0C
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13–19 D Kozakov, DR Hall, D Beglov, R Brenke, SR Comeau, Y Shen, K Li, … Proteins: Structure, Function, and Bioinformatics 78 (15), 3124-3130, 2010 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:MXK_kJrjxJIC
Structural conservation of druggable hot spots in protein–protein interfaces D Kozakov, DR Hall, GY Chuang, R Cencic, R Brenke, LE Grove, … Proceedings of the National Academy of Sciences 108 (33), 13528-13533, 2011 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:mB3voiENLucC
Convergence and combination of methods in protein–protein docking S Vajda, D Kozakov Current opinion in structural biology 19 (2), 164-170, 2009 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:ufrVoPGSRksC
FTSite: high accuracy detection of ligand binding sites on unbound protein structures CH Ngan, DR Hall, B Zerbe, LE Grove, D Kozakov, S Vajda Bioinformatics 28 (2), 286-287, 2012 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:SeFeTyx0c_EC
Accelerating and focusing protein–protein docking correlations using multi-dimensional rotational FFT generating functions DW Ritchie, D Kozakov, S Vajda Bioinformatics 24 (17), 1865-1873, 2008 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:hqOjcs7Dif8C
Free energy landscapes of encounter complexes in protein-protein association CJ Camacho, Z Weng, S Vajda, C DeLisi Biophysical journal 76 (3), 1166-1178, 1999 Link: https://scholar.google.com/citations?viewop=viewcitation&hl=en&user=gYtig8AAAAJ&citationforview=gYtig8AAAAJ:2osOgNQ5qMEC
Dima Kozakov googlescholarauthorid dimakozakov.md:Q09kankAAAAJ
David R. Hall googlescholarauthorid davidr.hall.md:Ev9GCEAAAAJ
Adrian Whitty googlescholarauthorid adrianwhitty.md:huztIfMAAAAJ
Ioannis Ch. Paschalidis googlescholarauthorid ioannisch.paschalidis.md:EshZ0QAAAAJ
Pirooz Vakili googlescholarauthorid piroozvakili.md:xTLyEI4AAAAJ
P P Valko googlescholarauthorid pp_valko.md:7DUMmEwAAAAJ
Gwo-Yu Chuang googlescholarauthorid gwo-yuchuang.md:rczIBLMAAAAJ
Tanggis Bohnuud googlescholarauthorid tanggisbohnuud.md:mvh0lmIAAAAJ
Chi Ho Ngan googlescholarauthorid chiho_ngan.md:NwfavskAAAAJ
HERSCHEL A. RABITZ googlescholarauthorid herschela._rabitz.md:LI4tzS0AAAAJ
Zhiping Weng googlescholarauthorid zhipingweng.md:-o3I0zUAAAAJ
Yang Shen googlescholarauthorid yangshen.md:0M0vGccAAAAJ
Karl H. Clodfelter googlescholarauthorid karlh._clodfelter.md:SzrKnfUAAAAJ
Michael Silberstein googlescholarauthorid michaelsilberstein.md:Yg6y06EAAAAJ
Ora Schueler-Furman googlescholarauthorid oraschueler-furman.md:lLCkUlsAAAAJ
Karen N. Allen googlescholarauthorid karenn._allen.md:hYg242wAAAAJ
Tamas Turanyi googlescholarauthorid tamasturanyi.md:805B8AsAAAAJ
David Ritchie googlescholarauthorid davidritchie.md:fUBkvj4AAAAJ
Kim Henrick googlescholarauthorid kimhenrick.md:RPMBVlsAAAAJ
Michael Pollastri googlescholarauthorid michaelpollastri.md:dNYPTBUAAAAJ
Youtube Title: Sandor Vajda vs Pascal Göbel - Liga Kampf 80 kg '' Sachsen-Anhalt ''
Youtube Link: link
Youtube Channel Name: Sandor Vajda
Youtube Channel Link: https://www.youtube.com/@SandorVajdaYT
Sandor Vajda vs Pascal Göbel - Liga Kampf 80 kg '' Sachsen-Anhalt ''
Youtube Title: Vilmos Halmos Sándor Vajda - Bass-Scat
Youtube Link: link
Youtube Channel Name: jazz957
Youtube Channel Link: https://www.youtube.com/@jazz957
Vilmos Halmos Sándor Vajda - Bass-Scat
Youtube Title: Ringen Kampf-Sandor Vajda vs Marcus Breitschuh 71 kg Freistil🤼♂️
Youtube Link: link
Youtube Channel Name: Sandor Vajda
Youtube Channel Link: https://www.youtube.com/@SandorVajdaYT
Ringen Kampf-Sandor Vajda vs Marcus Breitschuh 71 kg Freistil🤼♂️
Youtube Title: Sándor Vajda - Ray Brown's Hat
Youtube Link: link
Youtube Channel Name: jazz957
Youtube Channel Link: https://www.youtube.com/@jazz957
Sándor Vajda - Ray Brown's Hat
Youtube Title: 🤼 | Wrestling | 66kg FS: Edvard-Sandor Vajda (Schaafheim) vs. Nico Tauber (Gailbach)
Youtube Link: link
Youtube Channel Name: HDVT 1 - Wrestling
Youtube Channel Link: https://www.youtube.com/@HDVT1
🤼 | Wrestling | 66kg FS: Edvard-Sandor Vajda (Schaafheim) vs. Nico Tauber (Gailbach)
Youtube Title: 66 kg Gr: Edvard Sandor Vajda - Sinan Kayakiran
Youtube Link: link
Youtube Channel Name: Asv Schaafheim
Youtube Channel Link: https://www.youtube.com/@RingeninSchaafheim
66 kg Gr: Edvard Sandor Vajda - Sinan Kayakiran
Youtube Title: Húzódzkodás (Vajda Sándor)
Youtube Link: link
Youtube Channel Name: Sandor Vajda
Youtube Channel Link: https://www.youtube.com/@SandorVajdaYT
Húzódzkodás (Vajda Sándor)
Youtube Title: Ramzan Sokuev vs Sandor Vajda Liga Kampf 71 kg.
Youtube Link: link
Youtube Channel Name: Sandor Vajda
Youtube Channel Link: https://www.youtube.com/@SandorVajdaYT
Ramzan Sokuev vs Sandor Vajda Liga Kampf 71 kg.
Youtube Title: 75 kg Freistil: Edvard-Sandor Vajda - Michael Heeg 0:15 TÜ (ASV Schaafheim - AC Goldbach 25:4)
Youtube Link: link
Youtube Channel Name: Asv Schaafheim
Youtube Channel Link: https://www.youtube.com/@RingeninSchaafheim
75 kg Freistil: Edvard-Sandor Vajda - Michael Heeg 0:15 TÜ (ASV Schaafheim - AC Goldbach 25:4)