Sökning: "minimal responses"
Visar resultat 6 - 10 av 50 avhandlingar innehållade orden minimal responses.
6. The use of molecular techniques for identification of genetic divergence in transplantation : with special reference to MHC genes and HLA typing
Sammanfattning : Transplantation immunology basically deals with the immune mechanisms that lead to rejection of transplanted tissues. Lymphocytes are the key mediators of graft rejection. At the time for this observation, the genetic loci responsible for histocompatibility between individuals of the same species were already identified in the mouse. LÄS MER
7. Molecular Approaches to Explore Drug-Target Interactions
Sammanfattning : Improved means to assess the clinical potential of drug candidates can critically influence development of new therapeutic entities, a central aim in medical life science. Drug discovery and development relies on construction and selection of small organic compounds or biological agents that bind targets of interest. LÄS MER
8. Studies of acamprosate for the treatment of alcohol dependence
Sammanfattning : Alcohol dependence is a widespread psychiatric disorder with a prevalence of 4-6% in the adult population in western countries. Acamprosate (Calcium acetyl homotaurinate) is approved in many countries as a medication for the treatment of alcohol dependence. LÄS MER
9. The Dark side of Obesity: Multi-omics analysis of the dysmetabolic morbidities spectrum
Sammanfattning : Obesity is one of the most prevalent clinical conditions worldwide and is associated with a wide spectrum of dysmetabolic comorbidities. Complex cardio-metabolic disease cohorts, such as obesity cohorts are characterised by population heterogeneity, multiple underlying diseases status and different comorbidities’ treatment regiments. LÄS MER
10. Predicting Function of Genes and Proteins from Sequence, Structure and Expression Data
Sammanfattning : Functional genomics refers to the task of determining gene and protein function for whole genomes, and requires computational analysis of large amounts of biological data including DNA and protein sequences, protein structures and gene expressions. Machine learning methods provide a powerful tool to this end by first inducing general models from such data and already characterized genes or proteins and then by providing hypotheses on the functions of the remaining, uncharacterized cases. LÄS MER