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Research outputs
Prediction of toxicity and data exploratory analysis of estrogen-active endocrine disruptors using counter-propagation artificial neural networks [2010]
Stojić, NatašaComputational study of protein secondary structure elements: Ramachandran plots revisited [2014]
Carrascoza, Francisco; Zarić, Snežana D.The 3D-QSAR study of 110 diverse, dual binding, acetylcholinesterase inhibitors based on alignment independent descriptors (GRIND-2). The effects of conformation on predictive power and interpretability of the models [2012]
Vitorović-Todorović, Maja D.Strong C-H/O interactions between polycyclic aromatic hydrocarbons and water: influence of aromatic system size [2018]
Veljković, Dušan Ž.Importance of hydrogen bonding and aromaticity indices in QSAR modeling of the antioxidative capacity of selected (poly)phenolic antioxidants [2017]
Jeremić, SvetlanaIn silico design of small molecule inhibitors of CDK9/cyclin T1 interaction [2014]
Ranđelović, Jelena; Erić, SlavicaIn silico design of endothelin receptor antagonists using Monte Carlo-based QSAR modeling, molecular docking, and ADME profiling
[2025]
Marinkovic, Marija; Nikolic, Nemanja; Nikolic, Tamara; Bozanic, Borislav; Topalovic, Marija; Rancic, Andrija; Sajnovic, Stefan; Veselinovic, Aleksandar M Design and QSAR study of analogs of gamma-tocotrienol with enhanced anti proliferative activity against human breast cancer cells [2009]
Nikolić, KatarinaPrediction of hepatic microsomal intrinsic clearance and human clearance values for drugs [2009]
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