Sökning: "Protein complex structure prediction"

Visar resultat 1 - 5 av 28 avhandlingar innehållade orden Protein complex structure prediction.

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

    Författare :Robert Pilstål; Björn Wallner; Maria Sunnerhagen; Mauno Vihinen; Linköpings universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  2. 2. Deep learning solutions to protein quaternary structure

    Författare :Gabriele Pozzati; Arne Elofsson; Emmanuel Levy; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; protein interactions; interface prediction; structure prediction; docking; deep learning; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Interactions between proteins are directly involved in most biological processes and are essential for the correct functioning of every form of life. The nature of protein-protein interactions allows functional assemblies of hundreds of protein chains. LÄS MER

  3. 3. Unlocking protein sequences : Advances in protein structure and ligand-binding site prediction

    Författare :Aditi Shenoy; Arne Elofsson; Geoffrey J Barton; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : The protein sequence determines how it will fold into its unique three-dimensional structure. Once folded, proteins perform their functions by interacting with other proteins or molecules called ligands within the cell. Experimental determination of protein structure and function is tedious. LÄS MER

  4. 4. Decipher protein complex structures from sequence

    Författare :Wensi Zhu; Arne Elofsson; Nathalie Reuter; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Protein complex structure prediction; protein interaction; AI; AlphaFold; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Proteins are essential constituents of biological systems. A profound understanding of protein structure is significant for unraveling the intricate mechanisms of biological processes. The recent development of computational methods using AI technology is revolutionizing the structural biology field. LÄS MER

  5. 5. Prediction, modeling, and refinement of protein structure

    Författare :Per Larsson; Arne Elofsson; Erik Lindahl; Barry Honig; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Protein structure prediction; Multiple alignments; Quality assessment; Molecular dynamics; Implicit solvent; Refinement; Bioinformatics; Bioinformatik; Bioinformatics; Bioinformatik; Statistical mechanics; Statistisk mekanik; Biochemistry; biokemi;

    Sammanfattning : Accurate predictions of protein structure are important for understanding many processes in cells. The interactions that govern protein folding and structure are complex, and still far from completely understood. However, progress is being made in many areas. Here, efforts to improve the overall quality of protein structure models are described. LÄS MER