Search for dissertations about: "quantitative structure-activity relationship QSAR"
Showing result 1 - 5 of 16 swedish dissertations containing the words quantitative structure-activity relationship QSAR.
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1. Physico-chemical characteristics and quantitative structure-activity relationships of PCBs
Abstract : The polychlorinated biphenyls (PCBs) comprise a group of 209 congeners varying in the number of chlorine atoms and substitution patterns. These compounds tend to be biomagnified in foodwebs and have been shown to induce an array of effects in exposed organisms. READ MORE
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2. In silico tools in risk assessment : of industrial chemicals in general and non-dioxin-like PCBs in particular
Abstract : Industrial chemicals in European Union produced or imported in volumes above 1 tonne annually, necessitate a registration within REACH. A common problem, concerning these chemicals, is deficient information and lack of data for assessing the hazards posed to human health and the environment. READ MORE
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3. Relationship between chemical structure and airway sensitizing potential for organic acid anhydrides : an animal model
Abstract : Oranic acid anhydrides (OAAs) are important reactive, low-molecular-weight industrial chemicals which induce allergic rhinitis and asthma in exposed subjects. Specific IgE has been demonstrated in a large proportion of OAA-exposed workers. READ MORE
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4. Design strategies for new drugs targeting multicomponent systems : focusing on class II MHC proteins and acetylcholinesterase
Abstract : The field of medicinal chemistry is constantly evolving. Aided by advances within techniques as well as knowledge of biological systems, increasingly complex targets and drugs can be considered. READ MORE
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5. Improving alternatives assessment of plastic additives : exploring in silico tools to identify less hazardous flame retardants
Abstract : Alternatives assessment is applied for replacing hazardous chemicals with viable, safer substitutes. High quality experimental hazard data, however, are usually unavailable for this purpose, and obtaining in silico data is the only approach to fill in data gaps. READ MORE