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Showing result 1 - 5 of 40 swedish dissertations matching the above criteria.

2. 1. A multivariate approach to characterization of drug-like molecules, proteins and the interactions between them

   Author : Anton Lindström; Anna Linusson; Fredrik Almqvist; Anders Karlén; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; binding affinity; prediction; CAMD; principal component analysis PCA ; partial least squares projections to latent structures PLS ; MM-GB-SA; MM-PB-SA; docking; geometry optimization; protein secondary structure characterization; implicit solvent; generalized-Born; Poisson-Boltzmann; molecular mechanics MM ; drug discovery; bindningsaffinitet; prediktion; dockning; geometrioptimering; sekundärstruktur; matematisk vattenmodel; generalized-Born; Poisson-Boltzmann; molekylmekanik MM ; läkemedelsdesign; principal komponent analys PCA ; partial least squares projections to latent structures PLS ; MM-GB-SA; MM-PB-SA; Other chemistry; Övrig kemi;

   Abstract : En sjukdom kan många gånger härledas till en kaskadereaktion mellan proteiner, co-faktorer och substrat. Denna kaskadreaktion blir många gånger målet för att behandla sjukdomen med läkemedel. För att designa nya läkemedelsmoleyler används vanligen datorbaserade verktyg. READ MORE

4. 2. Ground vibrations due to pile and sheet pile driving : influencing factors, predictions and measurements

   Author : Fanny Deckner; Staffan Hintze; Kenneth Viking; Sigurdur Erlingsson; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ground vibration; pile; sheet pile; prediction; markvibrationer; påle; spont; prediktion;

   Abstract : Ground vibrations due to pile driving are part of a complex process. Vibration is generated from the pile driver to the pile. As the pile interacts with the surrounding soil, vibrations are transferred at the pile-soil interface. The vibration propagates through the ground and interacts with structures, both above ground and underground. READ MORE

5. 3. On protein structure, function and modularity from an evolutionary perspective

   Author : Robert Pilstål; Björn Wallner; Maria Sunnerhagen; Mauno Vihinen; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; structure; biology; intrinsical; disorder; protein; sequence; evolution; mutation; epistasis; function; allostery; dynamics; simulation; prediction; graph; network; bioinformatik; struktur; biologi; strukturbiologi; intrinsiellt; oordnad; protein; sekvens; evolution; mutation; epistasis; funktion; allosteri; dynamik; simulation; prediktion; graf; nätverk;

   Abstract : We are compounded entities, given life by a complex molecular machinery. When studying these molecules we have to make sense of a diverse set of dynamical nanostructures with wast and intricate patterns of interactions. READ MORE

6. 4. Looking into the Future : How to Use Advanced Statistical Methods for Predicting Psychotherapy Outcomes in Routine Care

   Author : Carl-Johan Uckelstam; Fredrik Falkenström; Björn Philips; Rolf Holmqvist; Sigal Zilcha-Mano; Linköpings universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Statistics; Machine learning; Multilevel modeling; Latent profile analysis; Prediction; Psychotherapy; Routine care; Outcome; Statistik; Maskininlärning; Latent profilanalys; Flernivåanalys; Prediktion; Psykoterapi; Rutinmässig vård; Utfall;

   Abstract : Psychotherapy research has shifted from mainly focusing on the average effects of different treatments to concentrating more on questions related to the individual patient. When research attention shifts, it can give rise to the implementation of new statistical methods that, in turn, can illuminate new challenges that must be addressed. READ MORE

7. 5. On sepsis - epidemiology, prediction and diagnostics

   Author : Lisa Mellhammar; Infektionsmedicin; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; sepsis; Epidemiologi; Early Warning Score; Bacteremia;

   Abstract : The overall aims of this thesis were to improve prediction, diagnostics and knowledge on epidemiology of sepsis. In paper I, we developed and evaluated an integrated platform for rapid analysis of sepsis-causing organisms directly from blood samples. READ MORE