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Projects source: E-CRIS

Synthesis, Quantitative Structure and Activity Relationship, Physico-Chemical Characterisation and Analysis of Pharmacologically Active Substances

Research activity

Code Science Field
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
B740  Biomedical sciences  Pharmacological sciences, pharmacognosy, pharmacy, toxicology 
P003  Natural sciences and mathematics  Chemistry 
P401  Natural sciences and mathematics  Electrochemistry 
P410  Natural sciences and mathematics  Theoretical chemistry, quantum chemistry 
Keywords
Biological active substances, Synthesis, QSAR, QSPR, Physico-Chemical Characterisation, Analysis
Organisations (3) , Researchers (1)
0007  University of Belgrade, Faculty of Pharmacy
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  01179  Danica Agbaba  Pharmaceuticals and related technologies  Head  2011 - 2019  55 
0018  University of Belgrade, Faculty of Medicine
0094  University of Belgrade, Vinča Institute of Nuclear Sciences - National Institute of the Republic of Serbia
Abstract
Synthesis of new compounds with potential biological activity based on modification of the natural products with potential antioxidant, antiproliferative and anti-inflammatory properties, structural, physicochemical and biological characterization. Research mechanisms, factors, molecular descriptors and QSAR and QSPR analysis, implementation of the newly synthesized compounds, ligands with an affinity to different receptor types and subtypes. A promising new pharmacokinetic model, defining specific molecular descriptors and establishing the QSAR models for prediction of hepatic, microsomal intrinsic clearance and clearance of human drugs. Bioinformatic databases and analysis of the results from proteomic and genomic experiments aim to identify new targets and to define special areas on these targets that can interact with small molecules, agonists or antagonists, or activators or inhibitors. Development and optimization of the separation methods (HPTLC-MS, HPLC, UPLC, CE, and others) to evaluate the contents and the purity of newly synthesized molecules, development of the new / improved methods for the detection and checking the stability thereof, and the analysis and structural determination of the new degradation products appearing in pharmacologically active substances as potential genotoxic impurities. Optimization methods developed for the different matrix systems using experimental design and methodology for multicriterion decisions.
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