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: Computational Electrostatics for Biological Applications
    sub title: Geometric and Numerical Approaches to the Description of Electrostatic Interaction Between Macromolecules
  name:
    name part: Rocchia, Walter.
    role:
      role term: editor.
  name:
    name part: Spagnuolo, Michela.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 306 p. 92 illus., 73 illus. in color. online resource.
  abstract: This book presents established and new approaches to perform calculations of electrostatic interactions at the nanoscale, with particular focus on molecular biology applications. It is based on the proceedings of the Computational Electrostatics for Biological Applications international meeting, which brought together researchers in computational disciplines to discuss and explore diverse methods to improve electrostatic calculations. Fostering an interdisciplinary approach to the description of complex physical and biological problems, this book encompasses contributions originating in the fields of geometry processing, shape modeling, applied mathematics, and computational biology and chemistry. The main topics covered are theoretical and numerical aspects of the solution of the Poisson-Boltzmann equation, surveys and comparison among geometric approaches to the modelling of molecular surfaces and related discretization and computational issues. It also includes a number of contributions addressing applications in biology, biophysics and nanotechnology. The book is primarily intended as a reference for researchers in the computational molecular biology and chemistry fields. As such, it also aims at becoming a key source of information for a wide range of scientists who need to know how modeling and computing at the molecular level may influence the design and interpretation of their experiments.
  note: edited by Walter Rocchia, Michela Spagnuolo.
  subject:
    topic: Life sciences
  subject:
    topic: Computer graphics
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Geometry
  subject:
    topic: Biomathematics
  subject:
    topic: Physics
  subject:
    topic: Biophysics
  subject:
    topic: Biological physics
  subject:
    topic: Life Sciences
  subject:
    topic: Computer Appl. in Life Sciences
  subject:
    topic: Biophysics and Biological Physics
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Theoretical, Mathematical and Computational Physics
  subject:
    topic: Computer Graphics
  subject:
    topic: Geometry
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319122113
  identifier: http://dx.doi.org/10.1007/978-3-319-12211-3
  record info:
    record creation date: 141129
    record change date: 20151111121202.0
    record identifier: 978-3-319-12211-3