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Oršolić, Davor
20  results:
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1

Dynamic applicability domain (dAD): compound–target binding..:

Oršolić, Davor ; Šmuc, Tomislav ; Martelli, Pier Luigi
Bioinformatics.  39 (2023)  8 - p. , 2023
Link: https://doi.org/10.1093/..
 
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2

cfDNA Methylation in Liquid Biopsies as Potential Testicula..:

Raos, Dora ; Oršolić, Davor ; Mašić, Silvija...
Epigenomics.  14 (2022)  23 - p. 1493-1507 , 2022
Link: https://doi.org/10.2217/..
 
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3

Comprehensive machine learning based study of the chemical ..:

Oršolić, Davor ; Pehar, Vesna ; Šmuc, Tomislav.
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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4

Optimizing approaches and representations for predictive mo..:

Oršolić, Davor
https://dr.nsk.hr/islandora/object/pbf:4502.  , 2023
Link: https://dr.nsk.hr/island..
 
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5

Data from: Comprehensive machine learning based study of th..:

Stepanić, Višnja ; Oršolić, Davor ; Šmuc, Tomislav
10.1038/s41598-021-90690-w.  , 2023
Link: https://data.fulir.irb.h..
 
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6

Crowdsourced mapping of unexplored target space of kinase i..:

Cichońska, Anna ; Ravikumar, Balaguru ; Allaway, Robert J...
http://fulir.irb.hr/6507/.  , 2021
Link: http://fulir.irb.hr/6507
 
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7

Crowdsourced mapping of unexplored target space of kinase i..:

Aittokallio, Tero ; Prasse, Paul ; Lienhard, Matthias...
ca05e869-85fb-454e-b338-58cf380acb4f.  , 2021
Link: https://doi.org/10.1038/..
 
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8

Comprehensive machine learning based study of the chemical ..:

Oršolić, Davor ; Pehar, Vesna ; Šmuc, Tomislav.
http://fulir.irb.hr/6500/.  , 2021
Link: http://fulir.irb.hr/6500
 
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9

Comprehensive machine learning based study of the chemical ..:

Oršolić, Davor ; Pehar, Vesna ; Šmuc, Tomislav.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169684/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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10

Ružičkini dani : Međunarodni znanstveno-stručni skup 17. Ru..:

Andrejaš, Martina ; Anđić, Martina ; Avdić, Gordan...
17. Ružičkini dani : Danas znanost - sutra industrija, Ružičkini dani, 2018-09-19 - 2018-09-21, Vukovar (HR).  , 2019
Link: https://repozitorij.unio..
 
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11

Biološka raznolikost gena što sadržavaju genetičku uputu za..:

Gacesa, Ranko ; Baranasic, Damir ; Starcevic, Antonio...
info:eu-repo/semantics/altIdentifier/doi/10.17113/ftb.56.02.18.5393.  , 2018
Link: https://hrcak.srce.hr/20..
 
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12

Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enz..:

Gacesa, Ranko ; Baranasic, Damir ; Starcevic, Antonio...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117985/.  , 2018
Link: http://www.ncbi.nlm.nih...
 
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13

Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enz..:

Gacesa, Ranko ; Baranasic, Damir ; Starcevic, Antonio...
http://fulir.irb.hr/4112/.  , 2018
Link: http://fulir.irb.hr/4112
 
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14

Comprehensive machine learning based study of the chemical ..:

Davor Oršolić ; Vesna Pehar ; Tomislav Šmuc.
https://doi.org/10.1038/s41598-021-90690-w.  , 2021
Link: https://doi.org/10.1038/..
 
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15

Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enz..:

Ranko Gacesa ; Damir Baranasic ; Antonio Starcevic...
http://hrcak.srce.hr/file/299544.  , 2018
Link: https://doaj.org/article..
 
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