| GPCRdb in 2018: adding GPCR structure models and ligands G Pándy-Szekeres, C Munk, TM Tsonkov, S Mordalski, K Harpsĝe, ... Nucleic acids research 46 (D1), D440-D446, 2018 | 385 | 2018 |
| Generic GPCR residue numbers–aligning topology maps while minding the gaps V Isberg, C de Graaf, A Bortolato, V Cherezov, V Katritch, FH Marshall, ... Trends in pharmacological sciences 36 (1), 22-31, 2015 | 313 | 2015 |
| GPCRdb: an information system for G protein-coupled receptors V Isberg, S Mordalski, C Munk, K Rataj, K Harpsĝe, AS Hauser, B Vroling, ... Nucleic acids research 44 (D1), D356-D364, 2016 | 255 | 2016 |
| GPCRdb: the G protein‐coupled receptor database–an introduction C Munk, V Isberg, S Mordalski, K Harpsĝe, K Rataj, AS Hauser, P Kolb, ... British Journal of Pharmacology 173 (14), 2195-2207, 2016 | 180 | 2016 |
| GPCRdb in 2021: integrating GPCR sequence, structure and function AJ Kooistra, S Mordalski, G Pándy-Szekeres, M Esguerra, A Mamyrbekov, ... Nucleic Acids Research 49 (D1), D335-D343, 2021 | 102 | 2021 |
| Protein binding site analysis by means of structural interaction fingerprint patterns S Mordalski, T Kosciolek, K Kristiansen, I Sylte, AJ Bojarski Bioorganic & medicinal chemistry letters 21 (22), 6816-6819, 2011 | 44 | 2011 |
| Impact of template choice on homology model efficiency in virtual screening K Rataj, J Witek, S Mordalski, T Kosciolek, AJ Bojarski Journal of chemical information and modeling 54 (6), 1661-1668, 2014 | 41 | 2014 |
| GPCRdb: an information system for G protein-coupled receptors V Isberg, S Mordalski, C Munk, K Rataj, K Harpsĝe, AS Hauser, B Vroling, ... Nucleic Acids Research 45 (5), 2936-2936, 2017 | 40 | 2017 |
| A Linear Combination of Pharmacophore Hypotheses as a New Tool in Search of New Active Compounds – An Application for 5-HT1A Receptor Ligands D Warszycki, S Mordalski, K Kristiansen, R Kafel, I Sylte, Z Chilmonczyk, ... PLoS One 8 (12), e84510, 2013 | 40 | 2013 |
| An application of machine learning methods to structural interaction fingerprints—a case study of kinase inhibitors J Witek, S Smusz, K Rataj, S Mordalski, AJ Bojarski Bioorganic & medicinal chemistry letters 24 (2), 580-585, 2014 | 25 | 2014 |
| Ligand-guided homology modelling of the GABAB2 subunit of the GABAB receptor T Freyd, D Warszycki, S Mordalski, AJ Bojarski, I Sylte, M Gabrielsen PloS one 12 (3), e0173889, 2017 | 21 | 2017 |
| From Homology Models to a Set of Predictive Binding Pockets–a 5-HT1A Receptor Case Study D Warszycki, M Rueda, S Mordalski, K Kristiansen, G Satała, K Rataj, ... Journal of chemical information and modeling 57 (2), 311-321, 2017 | 21 | 2017 |
| Synthesis and structural investigation of some pyrimido [5, 4-c] quinolin-4 (3H)-one derivatives with a long-chain arylpiperazine moiety as potent 5-HT1A/2A and 5-HT7 receptor … W Lewgowd, AJ Bojarski, M Szczesio, A Olczak, ML Glowka, S Mordalski, ... European journal of medicinal chemistry 46 (8), 3348-3361, 2011 | 21 | 2011 |
| A new crystal structure fragment-based pharmacophore method for G protein-coupled receptors K Fidom, V Isberg, AS Hauser, S Mordalski, T Lehto, AJ Bojarski, ... Methods 71, 104-112, 2015 | 18 | 2015 |
| Emulating docking results using a deep neural network: a new perspective for virtual screening S Jastrzębski, M Szymczak, A Pocha, S Mordalski, J Tabor, AJ Bojarski, ... Journal of Chemical Information and Modeling 60 (9), 4246-4262, 2020 | 17 | 2020 |
| The european research network on signal transduction (ernest): Toward a multidimensional holistic understanding of g protein-coupled receptor signaling ME Sommer, J Selent, J Carlsson, C De Graaf, DE Gloriam, GM Keseru, ... ACS Pharmacology & Translational Science 3 (2), 361-370, 2020 | 12 | 2020 |
| Reaction mechanism of sterol hydroxylation by steroid C25 dehydrogenase–Homology model, reactivity and isoenzymatic diversity A Rugor, A Wojcik-Augustyn, E Niedzialkowska, S Mordalski, J Staroń, ... Journal of inorganic biochemistry 173, 28-43, 2017 | 12 | 2017 |
| Multiple conformational states in retrospective virtual screening–homology models vs. crystal structures: beta-2 adrenergic receptor case study S Mordalski, J Witek, S Smusz, K Rataj, AJ Bojarski Journal of cheminformatics 7 (1), 1-9, 2015 | 11 | 2015 |
| Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning MethodsA Case Study of Serotonin Receptors 5-HT6 and 5-HT7 S Smusz, S Mordalski, J Witek, K Rataj, R Kafel, AJ Bojarski Journal of chemical information and modeling 55 (4), 823-832, 2015 | 11 | 2015 |
| Structural insights into serotonin receptor ligands polypharmacology S Podlewska, R Kafel, E Lacivita, G Satała, AJ Kooistra, M Vass, ... European Journal of Medicinal Chemistry 151, 797-814, 2018 | 9 | 2018 |
Andrzej BojarskiInstitute of Pharmacology Polish Academy of SciencesVerified email at if-pan.krakow.pl
