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- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
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themselves). This is in stark contrast to the standard atomistic approach, adopted in force-field simulations. We will formulate a new and non-trivial extension of the efficient COSMO-RS solvation model
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of established insect model species (i.e. Drosophila melanogaster) and emerging models, pest species, and economically important or beneficial insect (aphids, linden bugs, bumble bees, moths and butterflies, black
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well as basic research. We investigate the circadian and annual clocks, diapause, seasonality, sleep, endocrinology, circadian physiology and chronometabolism using combinations of established insect model
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Nairovirus genus, will serve as a model for studying Crimean-Congo hemorrhagic fever virus (CCHFV), a highly pathogenic BSL-4 virus.The project aims to:1.Investigate the effectiveness of potential polymerase
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to the design of novel peptides and peptide aggregates able to induce spontaneous fusion. The peptides have been selected based on their biocompatibility and our exceptional experience with membrane-active
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-distance-energy data coming from Scanning Probe Microscopy on surfaces relevant for life sciences research and medicine, including curve classification tools based on machine learning, providing both
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Faculty of Science, Palacky University Olomouc, Olomouc, Czech Republic | Czech | about 2 months ago
single-molecule magnets based on lanthanide complexes with macrocyclic ligands / supervisor: Assoc. Prof. Bohuslav Drahoš, Ph.D. • Continuous flow chemistry – a tool for efficient synthesis of macrocyclic
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. These steps will be followed by biophysical characterization and crystallization. Additionally, we will focus on developing and adapting cell-based phenotypic assays and designing light-activatable protease
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significant advantages over classical sensors, including high sensitivity and resolution. One type of such quantum nanosensor is photoluminescent nanoparticles, whose detection is based on monitoring
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developing new methods. These include machine-learning based approaches to identify deoxyribozyme variants with new phenotypes. University: Faculty of Science, Charles University Group: Edward Curtis Group