Stefan Mordalski
Stefan Mordalski
ZS Discovery
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GPCRdb in 2018: adding GPCR structure models and ligands
G Pándy-Szekeres, C Munk, TM Tsonkov, S Mordalski, K Harpsøe, ...
Nucleic acids research 46 (D1), D440-D446, 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
GPCRdb: an information system for G protein-coupled receptors
V Isberg, S Mordalski, C Munk, K Rataj, K Harpsøe, AS Hauser, B Vroling, ...
Nucleic acids research 44 (D1), D356-D364, 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
GPCRdb: the G protein‐coupled receptor database–an introduction
C Munk, V Isberg, S Mordalski, K Harpsøe, K Rataj, AS Hauser, P Kolb, ...
British Journal of Pharmacology 173 (14), 2195-2207, 2016
GPCRdb: an information system for G protein-coupled receptors
V Isberg, S Mordalski, C Munk, K Rataj, K Harpsøe, AS Hauser, B Vroling, ...
Nucleic Acids Research 45 (5), 2936-2936, 2017
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
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
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
Emulating docking results using a deep neural network: a new perspective for virtual screening
S Jastrzebski, M Szymczak, A Pocha, S Mordalski, J Tabor, AJ Bojarski, ...
Journal of Chemical Information and Modeling 60 (9), 4246-4262, 2020
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
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
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
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
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
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
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
Multi-Step Protocol for Automatic Evaluation of Docking Results Based on Machine Learning MethodsA 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
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, 1-9, 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
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