A global reference for human genetic variation AGR 1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison ... Nature 526 (7571), 68-74, 2015 | 15015 | 2015 |
A global reference for human genetic variation AGR 1000 Genomes Project Consortium, Auton A, Brooks LD, Durbin RM, Garrison ... Nature 526 (7571), 68-74, 2015 | 15002 | 2015 |
An integrated map of structural variation in 2,504 human genomes KJO 1000 Genomes Project Consortium, Mills RE, Gerstein MB, Bashir A, Stegle ... Nature 526 (7571), 75-81, 2015 | 2394 | 2015 |
An integrated map of structural variation in 2,504 human genomes KJO 1000 Genomes Project Consortium, Mills RE, Gerstein MB, Bashir A, Stegle ... Nature 526 (7571), 75-81, 2015 | 2394 | 2015 |
CTCF-mediated human 3D genome architecture reveals chromatin topology for transcription Z Tang, OJ Luo, X Li, M Zheng, JJ Zhu, P Szalaj, P Trzaskoma, ... Cell 163 (7), 1611-1627, 2015 | 986 | 2015 |
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database D Plewczynski, M Łaźniewski, R Augustyniak, K Ginalski Journal of computational chemistry 32 (4), 742-755, 2011 | 431 | 2011 |
Using Dali for structural comparison of proteins L Holm, S Kääriäinen, C Wilton, D Plewczynski Current protocols in bioinformatics 14 (1), 5.5. 1-5.5. 24, 2006 | 150 | 2006 |
Assessing different classification methods for virtual screening D Plewczynski, SAH Spieser, U Koch Journal of chemical information and modeling 46 (3), 1098-1106, 2006 | 149 | 2006 |
Detailed mechanism of squalene epoxidase inhibition by terbinafine M Nowosielski, M Hoffmann, LS Wyrwicz, P Stepniak, DM Plewczynski, ... Journal of chemical information and modeling 51 (2), 455-462, 2011 | 134 | 2011 |
Influence of colored noise on chaotic systems S Redaelli, D Plewczyński, WM Macek Physical Review E 66 (3), 035202, 2002 | 127 | 2002 |
VoteDock: consensus docking method for prediction of protein–ligand interactions D Plewczynski, M Łażniewski, MV Grotthuss, L Rychlewski, K Ginalski Journal of computational chemistry 32 (4), 568-581, 2011 | 110 | 2011 |
Fuzzy clustering of physicochemical and biochemical properties of amino acids I Saha, U Maulik, S Bandyopadhyay, D Plewczynski Amino acids 43, 583-594, 2012 | 96 | 2012 |
Protein–protein interaction and pathway databases, a graphical review T Klingström, D Plewczynski Briefings in bioinformatics 12 (6), 702-713, 2011 | 96 | 2011 |
AutoMotif server: prediction of single residue post-translational modifications in proteins D Plewczynski, A Tkacz, LS Wyrwicz, L Rychlewski Bioinformatics 21 (10), 2525-2527, 2005 | 88 | 2005 |
PPI_SVM: Prediction of protein-protein interactions using machine learning, domain-domain affinities and frequency tables P Chatterjee, S Basu, M Kundu, M Nasipuri, D Plewczynski Cellular and Molecular Biology Letters 16 (2), 264-278, 2011 | 82 | 2011 |
Disentangling the complexity of low complexity proteins P Mier, L Paladin, S Tamana, S Petrosian, B Hajdu-Soltész, A Urbanek, ... Briefings in Bioinformatics 21 (2), 458-472, 2020 | 79 | 2020 |
A new multi-objective technique for differential fuzzy clustering I Saha, U Maulik, D Plewczynski Applied Soft Computing 11 (2), 2765-2776, 2011 | 74 | 2011 |
AMS 3.0: prediction of post-translational modifications S Basu, D Plewczynski BMC bioinformatics 11, 1-15, 2010 | 61 | 2010 |
Ensemble learning prediction of protein–protein interactions using proteins functional annotations I Saha, J Zubek, T Klingström, S Forsberg, J Wikander, M Kierczak, ... Molecular BioSystems 10 (4), 820-830, 2014 | 58 | 2014 |
The interactome: predicting the protein-protein interactions in cells D Plewczyński, K Ginalski Cellular and Molecular Biology Letters 14 (1), 1-22, 2009 | 58 | 2009 |