Search for dissertations about: "short linear motifs"
Showing result 1 - 5 of 6 swedish dissertations containing the words short linear motifs.
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1. Diving into short linear motifs : Large-scale identification of endogenous and host-pathogen protein-protein interactions and further characterized by deep mutational scanning
Abstract : Short linear motifs (SLiMs) are protein-protein interaction sites that play an essential role in distinct cellular processes. Those interactions are challenging to capture by common high-throughput methods. READ MORE
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2. Evolution and viral mimicry of short linear motif-mediated interactions
Abstract : Proteins are one of the most fundamental building blocks of life and their interactions regulate every cellular process. Historically they have been conceptualized as predominantly folded entities with well-defined secondary and tertiary structures. READ MORE
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3. Identification of SLiMs: Mapping and characterizing motif-based protein interactions
Abstract : During the last twenty years it has become evident that about 35-40% of amino acids in the proteome are in regions that have evolved to remain unstructured. These intrinsically disordered regions contain short linear motifs (SLiMs), which serve as docking sites for protein-protein interactions. READ MORE
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4. Exploring conditional motif-based protein interactions in health and disease
Abstract : Protein-protein interactions (PPIs) orchestrate a variety of cellular events, ranging from signal transduction, scaffolding to subcellular localisation. A subclass of PPIs is mediated by short linear motifs, which are short amino acid stretches found in the intrinsically disordered regions of the proteome. READ MORE
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5. Exploration of analytical methods to study motif-mediated host-virus protein-protein interactions
Abstract : Proteins are responsible for countless processes in living creatures, but most often they do not perform these tasks alone. Rather, they engage in interactions with other proteins, creating whole protein-protein interaction (PPI) networks. READ MORE