Andrzej Bojarski

Jednostki:

Publikacje:

9.
Andrzej Bojarski, Rafał Kurczab, Stefan Mordalski, Igor Podolak, Agnieszka Wojtuch
2D SIFt: a matrix of ligand-receptor interactions, Journal of Cheminformatics vol. 13 (2021), Article number: 66
8.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
Emulating docking results using a deep neural network: a new perspective for virtual screening, Journal of Chemical Information and Modeling (2020), 4246-4262
7.
Andrzej Bojarski, Stanisław Jastrzębski, Stefan Mordalski, Sabina Podlewska, Maciej Szymczak, Jacek Tabor, Agnieszka Wojtuch
Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening, Journal of Chemical Information and Modeling vol. 60 (2020), 4246-4262
6.
Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
Development of New Methods Needs Proper Evaluation -- Benchmarking Sets for Machine Learning Experiments for Class A GPCRs, Journal of Chemical Information and Modeling vol. 59 (2019), 4974-4992
5.
Andrzej Bojarski, Wojciech Czarnecki, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska
Quo vadis G Protein-Coupled Receptor ligands? A tool for analysis of the emergence of new groups of compounds over time, Bioorganic and Medicinal Chemistry Letters vol. 27 (2017), 626-631
4.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Extremely Randomized Machine Learning Methods for Compound Activity Prediction, Molecules vol. 20 (11) (2015), 20107-20117
3.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Podlewska
Robust optimization of SVM hyperparameters in the classification of bioactive compounds, Journal of Cheminformatics vol. 7 (38) (2015), 15
2.
Andrzej Bojarski, Wojciech Czarnecki, Sabina Smusz, Dawid Warszycki
Exploiting uncertainty measures in compounds activity prediction using support vector machines, Bioorganic and Medicinal Chemistry Letters vol. 25 (2015), 100-105
1.
Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki
Asymmetric Clustering Index in a case study of 5-HT1A receptor ligands, PLoS One vol. 9(7) (2014), e102069

Granty (realizowane po maju 2009 roku)

TytułRolaRozpoczęcieZakończenie
Paradygmat minimalizacji pamięci w klastrowaniuWykonawca2015-01-212017-08-26