| Progress and challenges in predicting protein interfaces R Esmaielbeiki, K Krawczyk, B Knapp, JC Nebel, CM Deane Briefings in bioinformatics 17 (1), 117-131, 2016 | 136 | 2016 |
| Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulations B Knapp, S Demharter, R Esmaielbeiki, CM Deane Briefings in bioinformatics 16 (6), 1035-1044, 2015 | 52 | 2015 |
| Scoring docking conformations using predicted protein interfaces R Esmaielbeiki, JC Nebel BMC bioinformatics 15, 1-16, 2014 | 18 | 2014 |
| Unbiased protein interface prediction based on ligand diversity quantification R Esmaielbeiki, JC Nebel | 6 | 2012 |
| Structure prediction of LDLR-HNP1 complex based on docking enhanced by LDLR binding 3D motif R Esmaielbeiki, D P Naughton, JC Nebel Protein and Peptide Letters 19 (4), 458-467, 2012 | 5 | 2012 |
| Structural complex prediction based on protein interface recognition R Esmaielbeiki Kingston University, 2013 | | 2013 |
| German Conference on Bioinformatics 2012 S Böcker, F Hufsky, K Scheubert, J Schleicher, S Schuster, A Hoppe, ... | | 2012 |
| Discovery of a 3D motif essential to LDLR-protein complexes: Application to docking prediction evaluation R Esmaielbeiki, DP Naughton, JC Nebel | | 2011 |
| Feature selection for structure based pharmacophore model by means of Structural Interaction Fingerprint and 3D motif. S Mordalski, S Smusz, R Esmaielbeiki, AJ Bojarski | | |
