Sökning: "in silico modeling"
Visar resultat 1 - 5 av 31 avhandlingar innehållade orden in silico modeling.
1. Development of Methods for Assessing Unbound Drug Exposure in the Brain : In vivo, in vitro and in silico
Sammanfattning : The blood-brain barrier is formed by tightly joined capillary cells with transporter proteins and acts as to regulate the brain concentration of nutrients as well as many drugs. When developing central nervous system drugs it is necessary to measure the unbound drug concentration in the brain, i.e. the unbound brain exposure. LÄS MER
2. Improving alternatives assessment of plastic additives : exploring in silico tools to identify less hazardous flame retardants
Sammanfattning : 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. LÄS MER
3. In vitro and in silico Predictions of Hepatic Transporter-Mediated Drug Clearance and Drug-Drug Interactions in vivo
Sammanfattning : The liver is the major detoxifying organ, clearing the blood from drugs and other xenobiotics. The extent of hepatic clearance (CL) determines drug exposure and hence, the efficacy and toxicity associated with exposure. Drug-drug interactions (DDIs) that alter the hepatic CL may cause more or less severe outcomes, such as adverse drug reactions. LÄS MER
4. In silico Identification of Thyroid Disrupting Chemicals : among industrial chemicals and household dust contaminants
Sammanfattning : Thyroid disruptions by xenobiotics have been associated with a broad spectrum of severe adverse human health effects, such as impaired brain development and metabolic syndrome. Ingestion of indoor dust and contact with industrial chemicals are two significant human exposure routes of thyroid hormone disrupting chemicals (THDCs), raising serious concerns for human health. LÄS MER
Sammanfattning : In this thesis, I studied the molecular integration of reward-learning related neuromodulatory inputs by striatal medium-sized projection neurons (MSNs) using mass-action kinetic modeling.It is known that, in reward learning, an unexpected reward results in transient elevation in dopamine (peak) whereas omission of an expected reward leads to transient dopamine decrease (dip). LÄS MER