Slavica Erić, PhD

Dr sc. Slavica Erić

Title: Full Professor
Organizational unit: Department of Pharmaceutical Chemistry
Room: 207
Phone: +381 113951 355
Fax: +381 11 3972-840


Professor Slavica Erić graduated at Faculty of Pharmacy, University of Belgrade in 1991. After finishing one year of practitioning in Biochemical laboratory of Clinical Center of Serbia, she got position of Assistant at Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade. She was awarded Msc in Pharmaceutical Chemistry at the same Department in 1998. Her research in the field of QSAR and Molecular Modeling, in collaboration with National Institute of Chemistry in Ljubljana, Slovenia, (Laboratory of Chemometrics and Laboratory of Molecular Modelling) resulted in PhD in Pharmaceutical Chemistry in 2004. In 2005, she got the position of Assistant Professor. Her post-doctoral research (2006-2007) in physico-chemical properties of drugs was undertaken at Sirius Analytical Instruments Ltd, Forest Row, East Sussex, UK. Since 2011, she holds the position of Associate Professor at the Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade. In 2014, she defended specialization in Drug Control.

Professor Erić teaches Pharmaceutical Chemistry 1, Drug Design and Synthesis and Selected Topics in Pharmaceutical Chemistry (Medicinal chemistry of anticancer drugs) to undergraduate students. She is also included in the teaching on PhD level programmes in Pharmaceutical Chemistry (Target-based drug design, Advanced Methods in Drug Research) and Drug Analysis modules, as well as QP specialization. She was supervisor of one defended PhD (2013) and one Msc (2011) thesis, as well as over 15 undergraduate diplomas work.

Research interests of professor Erić include the study of physico-chemical propeties of drugs and mechanisms of drug action on the molecular level. She is applying quantitative structure-activity/property relationships, homology modelling, pharmacophore search, docking and molecular dynamics simulations methods in the computer-aided design of novel drugs (particulary anticancer drugs and GPCRs antagonists). She is also interested in the application of chemometric tools in various aspects of pharmaceutical and medicinal chemistry (the use of chromatographic parameters in QSPR studies, study of effects of environmental chemicals on receptors, prediction of drug permeability and drug transport). As the result of her research, over 30 papers have been published.

Professor Erić has collaborations with National Institute of Chemistry in Ljubljana (Slovenia), Department of Pharmacy at University of Hertfordshire (UK), Simulations Plus (CA, USA), Institute of Chemistry - University of Skopje (Macedonia). She was the leader of bilateral project with Republic of Slovenia, and participant in various national and international projects.

  • Computational classification models for predicting the interaction of drugs with P-glycoprotein and Breast Cancer Resistance Protein. Slavica Erić, Marko Kalinić, Katarina Ilić, Mire Zloh; SAR QSAR Environ. Res.,(2014) in press
  • Structural insights into binding of small molecule inhibitors to Enhancer of Zeste Homolog 2. Kalinić Marko, Zloh Mire, Erić Slavica; (2014). J. Comput. Aided Mol. Des. online first. doi:10.1007/s10822-014-9788-1.
  • In silico design of small molecule inhibitors of CDK9 / cyclin T1 interaction. Randjelovic Jelena, Erić Slavica, Savic Vladimir; Journal of Molecular Graphics and Modeling (2014) 50: 100-112
  • Insights into mechanism of anticancer activity of pentacyclic oxindole alkaloids of Uncaria tomentosa by means of a computational reverse virtual screening and molecular docking approach. Kozielewicz Pawel, Zloh Mire, Paradowska Katarzyna, Erić Slavica; Wawer Iwona Monatshefte fur Chemie - Chemical Monthly (2014) 145: 1201-1211
  • Computational study and peptide inhibitors design for the CDK9 –cyclin T1 complex. Jelena Ranđelović, Slavica Erić, Vladimir Savić; Journal of Molecular Modeling (2013) 19: 1711-1725
  • Study of the selectivity of α1-adrenergic antagonists by molecular modeling of alpha1a-, alpha1b- and alpha1d-adrenergic receptor subtypes and docking simulations. Slavica Erić, Tom Šolmajer, Miha Kotnik, Mire Zloh, Danica Agbaba; Monatshefte fur Chemie-Chemical Monthly (2013)144: 903-912
  • Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks. Erić Slavica, Kalinic Marko, Popovic Aleksandar, Zloh Mire, Kuzmanovski Igor; International Journal of Pharmaceutics (2012) 437: 232-241
  • Target fishing and docking studies of the novel derivatives of aryl-aminopyridines with potential anticancer activity. Erić Slavica, Ke Song, Barata Teresa, Solmajer Tom, Antic-Stankovic Jelena, Juranic Zorica, Savic Vladimir, Zloh Mire; Bioorganic& Medicinal Chemistry (2012) 20: 5220-5228
  • Antiproliferative activity and QSAR studies of a series of new 4-aminomethylidene derivatives of some pyrazol-5-ones. Markovic Violeta, Erić Slavica, Stanojković Tatjana, Gligorijević Nevenka, Aranđelović Sandra, Todorović Nina, Trifunović Snežana, Manojlović Nedeljko, Jelić Ratomir, Joksović Milan; Bioorganic & Medicinal Chemistry Letters (2011) 21: 4416-4421
  • Synthesis, antitumor activity and QSAR studies of some 4-aminomethylidene derivatives of edaravone. Markovic Violeta, Erić Slavica, Juranic Zorica, Stanojkovic Tatjana, Joksovic Ljubinka, Rankovic Branislav, Kosanic Marijana, Joksovic Milan; Bioorganic Chemistry (2011) 39: 18-27
  • Prediction of toxicity and data exploratory analysis of estrogen-active endocrine disruptors using counter-propagation artificial neural networks. Nataša Stojić, Slavica Erić, Igor Kuzmanovski; Journal of Molecular Graphics and Modeling (2010) 29: 450-460
  • Role of complexes formation between drugs and penetration enhancers in transdermal delivery. Drakulic BJ, Juranic IO, Erić S, Zloh M;  International Journal of Pharmaceutics (2008) 363:40-9.
  • Prediction of Selectivity of α1 Adrenergic Antagonists by Counterpropagation Neural Network (CP-ANN), Erić S, Solmajer T, Zupan j, Novic M, Oblak M, Agbaba D; Il Farmaco (2004) 59: 389-395
  • Quantitative Structure-Activity Relationships of alpha1 Adrenergic Antagonists. Erić S, Solmajer T, Novic M, Oblak M, Agbaba D; Journal of Molecular Modeling (2004) 10: 139-150