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: Protein Engineering Techniques
    sub title: Gateways to Synthetic Protein Universe
  name:
    name part: Poluri, Krishna Mohan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gulati, Khushboo.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 134 p. 37 illus. in color. online resource.
  abstract: This brief provides a broad overview of protein-engineering research, offering a glimpse of the most common experimental methods. It also presents various computational programs with applications that are widely used in directed evolution, computational and de novo protein design. Further, it sheds light on the advantages and pitfalls of existing methodologies and future perspectives of protein engineering techniques.
  table of contents: World of Proteins: Structure-Function relationships and Engineering techniques -- Expanding the Synthetic Protein universe by guided Evolutionary Concepts -- Rationale Designing of Novel Proteins through Computational Approaches -- Generating the Fancy Protein Basket with De novo Approach -- Biotechnological Applications of Protein Engineering Methods.
  note: by Krishna Mohan Poluri, Khushboo Gulati.
  subject:
    topic: Engineering
  subject:
    topic: Pharmaceutical technology
  subject:
    topic: Biotechnology
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Biotechnology
  subject:
    topic: Pharmaceutical Sciences/Technology
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Biomedical Engineering
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Applied Sciences and Technology
  identifier: 9789811027321
  identifier: http://dx.doi.org/10.1007/978-981-10-2732-1
  record info:
    record creation date: 161114
    record change date: 20161114094232.0
    record identifier: 978-981-10-2732-1