Sökning: "protein structure prediction"

Visar resultat 1 - 5 av 81 avhandlingar innehållade orden protein structure prediction.

  1. 1. Protein structure prediction : Zinc-binding sites, one-dimensional structure and remote homology

    Författare :Nanjiang Shu; Sven Hovmöller; Bruce Donald; Geoff Barton; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; zinc-binding; profile; homology detection; shape string; Bioinformatics; Bioinformatik; Molecular biology; Molekylärbiologi; Biochemistry; Biokemi; strukturkemi; Structural Chemistry;

    Sammanfattning : Predicting the three-dimensional (3D) structure of proteins is a central problem in biology. These computationally predicted 3D protein structures have been successfully applied in many fields of biomedicine, e.g. family assignments and drug discovery. LÄS MER

  2. 2. Protein Structure Prediction : Model Building and Quality Assessment

    Författare :Björn Wallner; Arne Elofsson; Michael Levitt; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; proteinstrukturförutsägelse; Bioinformatics; Bioinformatik;

    Sammanfattning : Proteins play a crucial roll in all biological processes. The wide range of protein functions is made possible through the many different conformations that the protein chain can adopt. The structure of a protein is extremely important for its function, but to determine the structure of protein experimentally is both difficult and time consuming. LÄS MER

  3. 3. Ensemble methods for protein structure prediction

    Författare :Marcin J. Skwark; Arne Elofsson; Michael Tress; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; protein structure prediction; model quality assessment; contact prediction; homology modeling; ab-initio prediction; consensus prediction; structural bioinformatics; bioinformatics; protein structure; biokemi; inriktning teoretisk kemi; Biochemistry with Emphasis on Theoretical Chemistry;

    Sammanfattning : Proteins play an essential role in virtually all of life's processes. Their function is tightly coupled to the three-dimensional structure they adopt.Solving protein structures experimentally is a complicated, time- and resource-consuming endeavor. LÄS MER

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

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

    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

  5. 5. From Sequence to Structure : Using predicted residue contacts to facilitate template-free protein structure prediction

    Författare :Mirco Michel; Arne Elofsson; Erik Lindahl; Johannes Söding; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; protein bioinformatics; protein structure prediction; contact prediction; machine learning; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Despite the fundamental role of experimental protein structure determination, computational methods are of essential importance to bridge the ever growing gap between available protein sequence and structure data. Common structure prediction methods rely on experimental data, which is not available for about half of the known protein families. LÄS MER