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  1. 1. Transmembrane Proteins and Protein Structure Prediction : What we can learn from Computational Methods

    Författare :John Lamb; Arne Elofsson; Paolo Marcatili; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; contact prediction; transmembrane protein; topology prediction; machine learning; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

    Sammanfattning : A protein’s 3D-structure is essential to understand how proteins function and interact and how biochemical processes proceed in organic life. Despite the advancement in experimental methods, it remains expensive and time-consuming to determine protein structure experimentally. LÄS MER

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

    Författare :Karin Melén; Gunnar von Heijne; Hugh Salter; Janet Thornton; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; membrane protein; topology prediction; bioinformatics; Theoretical chemistry; 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

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

    Författare :Håkan Viklund; Arne Elofsson; Kimmen Sjölander; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; bioinformatics; protein; topology; hidden Markov model; prediction; Bioinformatics; 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

  5. 4. Application of membrane protein topology prediction

    Författare :Aron Hennerdal; Arne Elofsson; Rita Casadio; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Biochemistry; Biokemi; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    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

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

    Författare :Andreas Bernsel; Gunnar von Heijne; Volkhard Helms; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; membrane protein; topology prediction; hidden markov model; homology detection; Sec translocon; Bioinformatics; 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