rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: From protein structure to function with bioinformatics
  name:
    name part: Rigden, Daniel John
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: ne
    date issued: 2017
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 503 pages) : illustrations (some color)
  abstract: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is…
  table of contents: Preface -- Ab Initio Protein Structure Prediction -- Protein structures, interactions and function from evolutionary couplings.-Fold Recognition -- Comparative protein structure modelling -- Advances in computational methods for transmembrane protein structure prediction -- Bioinformatics approaches to the structure and function of intrinsically disordered proteins -- Prediction of Protein Aggregation and Amyloid Formation -- Prediction of biomolecular complexes -- Function Diversity within Folds and Superfamilies -- Function prediction using patches, pockets and other surface properties -- 3D Motifs -- Protein Dynamics: From Structure to Function -- Integrated servers for structure-informed function prediction -- Case Studies: Function Predictions Of Structural Genomics Results -- Prediction of protein function from theoretical models -- Index.
  note: Daniel J. Rigden, editor.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: Proteins
    topic: Structure-activity relationships
    topic: Research
    topic: Methodology
  subject:
    topic: Proteins
    topic: Structure
    topic: Research
    topic: Methodology
  subject:
    topic: Proteins
    topic: Structure
  subject:
    topic: Proteins
    topic: Structure
    topic: Computer simulation
  subject:
    topic: Bioinformatics
  related item:
    title info:
      title: From protein structure to function with bioinformatics
    origin info:
      publisher: The Netherlands : Springer, 2017
      edition: Second edition.
    identifier: (OCoLC)967365349
  identifier: 9789402410693
  identifier: 9789402410679
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: N$T
    record creation date: 170417
    record change date: 20251008101051.0
    record identifier: 97276
    language of cataloging:
      language term: eng