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Laboratorij za strojno učenje in umetno inteligenco

Raziskave v Laboratoriju za strojno učenje in umetno inteligenco so usmerjene predvsem v uporabo in razvoj pristopov strojnega učenja in umetne inteligence na področju računske kemije, ki obsega načrtovanje molekul, načrtovanje zdravil, toksikologijo in molekulske simulacije bioloških sistemov.

Sodelavke in sodelavci

Vodja laboratorija

Reprezentativne publikacije

1. ZORMAN, Maša, ZAJEC, Živa, ZDOVC, Irena, ŠENEROVIĆ, Lidija, RADAKOVIC, Natasa, ATANASKOVIĆ, Marija, ANDERLUH, Marko, MINOVSKI, Nikola, HRAST RAMBAHER, Martina. Designing the DNA-intercalating moiety to improve the safety and efficacy of novel bacterial topoisomerase inhibitors. Journal of medicinal chemistry. [Online ed.]. 2026, DOI: 10.1021/acs.jmedchem.6c00415.

2. DEKLEVA, Dominik, VORONOV, Alexey, JANET, Jon Paul, EKBORG, Albin, BORIŠEK, Jure, HRAST RAMBAHER, Martina, LOEFFLER, Hannes Herbert. Synthesizability via reward engineering : expanding generative molecular design into synthetic space. Chemical science. 2026, 17, 20, 10015-10028. DOI: https://dx.doi.org/10.1039/d5sc09263a.

3. VRAČKO, Marjan, ALBREHT, Alen. An in silico study of binding of new lutein esters to nuclear endocrine receptors. Food research international. 2026, 236, 119262, 1-7. DOI: https://dx.doi.org/10.1016/j.foodres.2026.119262.

4. ZORMAN, Maša, MINOVSKI, Nikola, ZAJEC, Živa, ANDERLUH, Marko, GOLOB, Majda, RADAKOVIC, Natasa, ATANASKOVIĆ, Marija, ŠENEROVIĆ, Lidija, HRAST RAMBAHER, Martina. Antibacterial and antibiofilm activities of novel bacterial topoisomerase inhibitors against Staphylococcus aureus and other clinically relevant pathogens. European journal of medicinal chemistry. 2026, 316, 118993, 1-23. DOI: https://dx.doi.org/10.1016/j.ejmech.2026.118993.

5. BORIŠEK, Jure, AUPIČ, Jana, MAGISTRATO, Alessandra. Third metal ion dictates the catalytic activity of the two-metal-ion pre-ribosomal RNA-processing machinery. Angewandte Chemie : international edition. 2024, vol. 44,e202405819, 1-8. DOI: https://dx.doi.org/10.1002/anie.202405819.

6. PRAŠNIKAR, Eva, LJUBIČ, Martin, PERDIH, Andrej, BORIŠEK, Jure. Machine learning heralding a new development phase in molecular dynamics simulations. Artificial intelligence review. 2024, 57, 4102, 1-36. DOI: https://dx.doi.org/10.3389/fphar.2022.925427.

7. LJUBIČ, Martin, PERDIH, Andrej, BORIŠEK, Jure. All-atom simulations reveal the effect of membrane composition on the signaling of the NKG2A/CD94/HLA-E immune receptor complex. Journal of chemical information and modeling. 2024, 64, 24, 9374–9387. DOI: https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00249.

8. DRGAN, Viktor, VENKO, Katja, SLUGA, Janja, NOVIČ, Marjana. Merging counter-propagation and back-propagation algorithms : overcoming the limitations of counter-propagation neural network models. International journal of molecular sciences. 2024, 25, 8, 4156, 1-11. DOI: https://dx.doi.org/10.3390/ijms25084156.

9. MORA LAGARES, Liadys, PEREZ CASTILLO, Yunierkis, NOVIČ, Marjana. Exploring the dynamics of the ABCB1 membrane transporter P-glycoprotein in the presence of ATP and active/non-active compounds through molecular dynamics simulations. Toxicology. 2024, 502, 153732, 1-11. DOI: https://dx.doi.org/10.1016/j.tox.2024.153732.

10. KOKOT, Maja, WEISS, Matjaž, ZDOVC, Irena, ŠENEROVIĆ, Lidija, RADAKOVIC, Natasa, ANDERLUH, Marko, MINOVSKI, Nikola, HRAST RAMBAHER, Martina. Amide containing NBTI antibacterials with reduced hERG inhibition, retained antimicrobial activity against gram-positive bacteria and in vivo efficacy. European journal of medicinal chemistry. 2023, 250, 1-13. DOI: https://dx.doi.org/10.1016/j.ejmech.2023.115160.

11. LJUBIČ, Martin, PRAŠNIKAR, Eva, PERDIH, Andrej, BORIŠEK, Jure. All-atom simulations reveal the intricacies of signal transduction upon binding of the HLA-E ligand to the transmembrane inhibitory CD94/NKG2A receptor. Journal of chemical information and modeling. 2023, 63, 11, 3486-3499. DOI: https://dx.doi.org/10.1021/acs.jcim.4c01357.

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