Sökning: "membrane protein prediction"

Visar resultat 1 - 5 av 40 avhandlingar innehållade orden membrane protein prediction.

  1. 1. Mutational effects on protein structure and function

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Jonas Carlsson; Linköpings universitet.; Linköpings universitet.; [2009]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mutation; prediction; phenotypes; homology model; virtual screening; molecular dynamics; amyloid; cancer; membrane protein; NATURAL SCIENCES Biology Other biology Bioinformatics; NATURVETENSKAP Biologi Övrig biologi Bioinformatik;

    Sammanfattning : In this thesis several important proteins are investigated from a structural perspective. Some of the proteins are disease related while other have important but not completely characterised functions. LÄS MER

  2. 2. Topology Prediction of Membrane Proteins: Why, How and When?

    Detta är en avhandling från Stockholm : Institutionen för biokemi och biofysik

    Författare :Karin Melén; Stockholms universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; membrane protein; topology prediction; bioinformatics; NATURAL SCIENCES Chemistry Theoretical chemistry; NATURVETENSKAP Kemi Teoretisk kemi; biokemi; Biochemistry;

    Sammanfattning : Membrane proteins are of broad interest since they constitute a large fraction of the proteome in all organisms, up to 20-30%. They play a crucial role in many cellular processes mediating information flow and molecular transport across otherwise nearly impermeable membranes. LÄS MER

  3. 3. Application of membrane protein topology prediction

    Detta är en avhandling från Stockholm : Department of Biochemistry and Biophysics, Stockholm University

    Författare :Aron Hennerdal; Stockholms universitet.; [2011]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES Chemistry Biochemistry; NATURVETENSKAP Kemi Biokemi; Biochemistry with Emphasis on Theoretical Chemistry; biokemi; inriktning teoretisk kemi;

    Sammanfattning : Membrane proteins often have essential functions in the cell and many are important drug targets, yet only a small fraction of available protein structures are of membrane proteins. Experimental techniques for elucidating membrane protein structures have proven laborious and expensive, opening the field for comparatively inexpensive computational modeling. LÄS MER

  4. 4. Sequence-based predictions of membrane-protein topology, homology and insertion

    Detta är en avhandling från Stockholm : Institutionen för biokemi och biofysik

    Författare :Andreas Bernsel; Stockholms universitet.; [2008]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; membrane protein; topology prediction; hidden markov model; homology detection; Sec translocon; NATURAL SCIENCES Chemistry Theoretical chemistry Bioinformatics; NATURVETENSKAP Kemi Teoretisk kemi Bioinformatik; Biochemistry; biokemi;

    Sammanfattning : Membrane proteins comprise around 20-30% of a typical proteome and play crucial roles in a wide variety of biochemical pathways. Apart from their general biological significance, membrane proteins are of particular interest to the pharmaceutical industry, being targets for more than half of all available drugs. LÄS MER

  5. 5. Formalizing life Towards an improved understanding of the sequence-structure relationship in alpha-helical transmembrane proteins

    Detta är en avhandling från Stockholm : Institutionen för biokemi och biofysik

    Författare :Håkan Viklund; Stockholms universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; protein; topology; hidden Markov model; prediction; NATURAL SCIENCES Chemistry Theoretical chemistry Bioinformatics; NATURVETENSKAP Kemi Teoretisk kemi Bioinformatik; Biochemistry; biokemi;

    Sammanfattning : Genes coding for alpha-helical transmembrane proteins constitute roughly 25% of the total number of genes in a typical organism. As these proteins are vital parts of many biological processes, an improved understanding of them is important for achieving a better understanding of the mechanisms that constitute life. LÄS MER