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 | 1969 | 2017 |
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 | 1042 | 2004 |
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 | 938 | 2006 |
ClusPro: a fully automated algorithm for protein–protein docking SR Comeau, DW Gatchell, S Vajda, CJ Camacho Nucleic acids research 32 (suppl_2), W96-W99, 2004 | 922 | 2004 |
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 | 744 | 2003 |
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 | 685 | 2013 |
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 | 527 | 2015 |
Principal component analysis of kinetic models S Vajda, P Valko, T Turanyi International Journal of Chemical Kinetics 17 (1), 55-81, 1985 | 482 | 1985 |
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 | 473 | 2009 |
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 | 428 | 2004 |
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 | 394 | 2017 |
How proteins bind macrocycles EA Villar, D Beglov, S Chennamadhavuni, JA Porco Jr, D Kozakov, ... Nature chemical biology 10 (9), 723-731, 2014 | 367 | 2014 |
Similarity transformation approach to structural identifiability of nonlinear compartmental models S Vajda, KR Godfrey, H Rabitz Math. Biosci 93 (2), 217-248, 1989 | 302* | 1989 |
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 | 282 | 2010 |
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 | 271 | 2020 |
Convergence and combination of methods in protein–protein docking S Vajda, D Kozakov Current opinion in structural biology 19 (2), 164-170, 2009 | 259 | 2009 |
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 | 256 | 2011 |
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 | 248 | 1999 |
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 | 241 | 2008 |
Reaction rate analysis of complex kinetic systems T Turanyi, T Berces, S Vajda International Journal of Chemical Kinetics 21 (2), 83-99, 1989 | 236 | 1989 |