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Dávid Bajusz
Dávid Bajusz
Research Centre for Natural Sciences
Dirección de correo verificada de ttk.hu - Página principal
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Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?
D Bajusz, A Rácz, K Héberger
Journal of Cheminformatics 7, 20, 2015
13082015
Effect of dataset size and train/test split ratios in QSAR/QSPR multiclass classification
A Rácz, D Bajusz, K Héberger
Molecules 26 (4), 1111, 2021
2472021
One-versus two-electron oxidation with peroxomonosulfate ion: reactions with iron (II), vanadium (IV), halide ions, and photoreaction with cerium (III)
G Lente, J Kalmár, Z Baranyai, A Kun, I Kék, D Bajusz, M Takács, L Veres, ...
Inorganic chemistry 48 (4), 1763-1773, 2009
2262009
Pharmacologic inhibition of STAT5 in acute myeloid leukemia
B Wingelhofer, B Maurer, EC Heyes, AA Cumaraswamy, A Berger-Becvar, ...
Leukemia 32 (5), 1135-1146, 2018
1482018
Consistency of QSAR models: Correct split of training and test sets, ranking of models and performance parameters
A Rácz, D Bajusz, K Héberger
SAR and QSAR in Environmental Research 26 (7-9), 683-700, 2015
1132015
Multi-level comparison of machine learning classifiers and their performance metrics
A Rácz, D Bajusz, K Héberger
Molecules 24 (15), 2811, 2019
1102019
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints
A Rácz, D Bajusz, K Héberger
Journal of cheminformatics 10, 1-12, 2018
982018
Structure-Based Virtual Screening Approaches in Kinase-Directed Drug Discovery.
D Bajusz, GG Ferenczy, GM Keserű
Current topics in medicinal chemistry 17 (20), 2235-2259, 2017
822017
Direct targeting options for STAT3 and STAT5 in cancer
A Orlova, C Wagner, ED de Araujo, D Bajusz, HA Neubauer, M Herling, ...
Cancers 11 (12), 1930, 2019
812019
Multivariate assessment of lipophilicity scales—computational and reversed phase thin-layer chromatographic indices
F Andrić, D Bajusz, A Rácz, S Šegan, K Héberger
Journal of pharmaceutical and biomedical analysis 127, 81-93, 2016
662016
Structural implications of STAT3 and STAT5 SH2 domain mutations
ED de Araujo, A Orlova, HA Neubauer, D Bajusz, HS Seo, ...
Cancers 11 (11), 1757, 2019
592019
Chemical Data Formats, Fingerprints, and Other Molecular Descriptions for Database Analysis and Searching
D Bajusz, A Rácz, K Héberger
Comprehensive Medicinal Chemistry III 3, 329-378, 2017
59*2017
Comprehensive medicinal chemistry III
D Bajusz, A Rácz, K Héberger
Elsevier, Amsterdam, The Netherlands, 2017
572017
Intercorrelation Limits in Molecular Descriptor Preselection for QSAR/QSPR
A Rácz, D Bajusz, K Héberger
Molecular informatics 38, 1800154, 2019
482019
Exploring protein hotspots by optimized fragment pharmacophores
D Bajusz, WS Wade, G Satała, AJ Bojarski, J Ilaš, J Ebner, F Grebien, ...
Nature Communications 12 (1), 3201, 2021
472021
Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics†
RA Miranda-Quintana, D Bajusz, A Rácz, K Héberger
Journal of cheminformatics 13 (1), 32, 2021
472021
Modelling methods and cross-validation variants in QSAR: a multi-level analysis$
A Rácz, D Bajusz, K Héberger
SAR and QSAR in Environmental Research 29 (9), 661-674, 2018
422018
Is soft independent modeling of class analogies a reasonable choice for supervised pattern recognition?
A Rácz, A Gere, D Bajusz, K Héberger
RSC advances 8 (1), 10-21, 2018
422018
Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 2: speed, consistency, diversity selection
RA Miranda-Quintana, A Rácz, D Bajusz, K Héberger
Journal of Cheminformatics 13 (1), 33, 2021
362021
An electrophilic warhead library for mapping the reactivity and accessibility of tractable cysteines in protein kinases
L Petri, A Egyed, D Bajusz, T Imre, A Hetényi, T Martinek, ...
European Journal of Medicinal Chemistry 207, 112836, 2020
352020
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Artículos 1–20