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Davor Oršolić
Davor Oršolić
Research Assistant
Verified email at irbbarcelona.org
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Cited by
Cited by
Year
Crowdsourced mapping of unexplored target space of kinase inhibitors
A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ...
Nature communications 12 (1), 3307, 2021
622021
Comprehensive machine learning based study of the chemical space of herbicides
D Oršolić, V Pehar, T Šmuc, V Stepanić
Scientific reports 11 (1), 11479, 2021
242021
Bioprospecting for genes encoding hydrocarbon-degrading enzymes from metagenomic samples isolated from northern adriatic sea sediments
R Gacesa, D Baranasic, A Starcevic, J Diminic, M Korlević, M Najdek, ...
Food technology and biotechnology 56 (2), 270, 2018
122018
Dynamic applicability domain (dAD): compound–target binding affinity estimates with local conformal prediction
D Oršolić, T Šmuc
Bioinformatics 39 (8), btad465, 2023
32023
Drug-likeness, herbicide-likeness and toxicity of herbicidal compounds–in silico analysis
V Pehar, D Oršolić, V Stepanić
17. Ružičkini dani" Danas znanost-sutra industrija", 112-123, 2019
22019
cfDNA methylation in liquid biopsies as potential testicular seminoma biomarker
D Raos, D Oršolić, S Mašić, M Tomić, J Krasić, I Tomašković, NN Gabaj, ...
Epigenomics 14 (23), 1493-1507, 2022
12022
Ultrasonic disintegration of Aspergillus flavus NRRL 3251 mycelia treated with cell wall degrading enzymes.
T Kovač, D Oršolić, A Sluganović, B Šarkanj, I Strelec
12016
Data from: Comprehensive machine learning based study of the chemical space of herbicides
V Stepanić, D Oršolić, T Šmuc
Institut Ruđer Bošković, 2023
2023
Optimizing approaches and representations for predictive modeling of molecular mechanisms of action and binding affinities of bioactive molecules
D Oršolić
University of Zagreb. Faculty of Food Technology and Biotechnology …, 2023
2023
Dynamic applicability domain (dAD) for compound-target binding affinity prediction task with confidence guarantees
D Oršolić, T Šmuc
bioRxiv, 2022.08. 22.504786, 2022
2022
Novel seminoma biomarker from liquid biopsies
D Raos, D Oršolić, S Mašić, M Tomić, A Barešić, N Sinčić
The Biochemistry Global Summit, 25th IUBMB Congress, 46th FEBS Congress …, 2022
2022
(Re) purposing starts virtually by predictive machine-learning models
V Stepanić, D Oršolić, T Šmuc
27. hrvatski skup kemičara i kemijskih inženjera (27HSKIKI), 16-16, 2021
2021
Development of phytotoxic natural molecules as complementary herbicidal agents is supported by machine learning study
V Stepanić, D Oršolić, V Pehar, T Šmuc
1st international conference Food and Climate Change, 39-39, 2021
2021
Ružičkini dani: Međunarodni znanstveno-stručni skup 17. Ružičkini dani „Danas znanost-sutra industrija “: zbornik radova
M Andrejaš, M Anđić, G Avdić, T Barbaro, A Bašić, B Budim, ...
17. Ružičkini dani: Danas znanost-sutra industrija, 2019
2019
Application of machine learning approaches for design of more selective herbicides
V Pehar, D Oršolić, M Jadrijević-Mladar Takač, V Stepanić
3rd COST-sponsored ARBRE-MOBIEU plenary meeting Molecular Biophysics-ABC of …, 2019
2019
Application of machine learning for herbicide characterization
V Pehar, D Oršolić, V Stepanić
Computational Chemistry Day 2019, 33-33, 2019
2019
In silico predictions of ADME/Tox features of herbicides
V Stepanić, D Oršolić, V Pehar, M Jadrijević-Mladar Takač
UNGAP Spring Meeting of COST Action CA16205, 2019
2019
In silico analysis of herbicides–impact on human health
V Pehar, D Oršolić, V Stepanić
26. hrvatski skup kemičara i kemijskih inženjera (26HSKIKI); 4. simpozij …, 2019
2019
Biološka raznolikost gena što sadržavaju genetičku uputu za enzime koji razgrađuju ugljikovodike iz uzoraka metagenoma izoliranih iz sedimenata sjevernog Jadranskog mora
R Gacesa, D Baranasic, A Starcevic, J Diminic, M Korlević, M Najdek, ...
Food Technology and Biotechnology 56 (2), 270-277, 2018
2018
Structure-Activity Relationships for Herbicides
V Pehar, D Oršolić, V Stepanić
17. Ružičkini dani" Danas znanost-sutra industrija", 101-101, 2018
2018
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