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: Bioinformatics of Non Small Cell Lung Cancer and the Ras Proto-Oncogene
  name:
    name part: Kashyap, Amita.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Bujamma, D.
    role:
      role term: author.
  name:
    name part: Babu M, Naresh.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 72 p. 40 illus., 39 illus. in color. online resource.
  abstract: Cancer is initiated by activation of oncogenes or inactivation of tumor suppressor genes. Mutations in the K-ras proto-oncogene are responsible for 10–30% of adenocarcinomas. Clinical Findings point to a wide variety of other cancers contributing to lung cancer incidence. Such a scenario makes identification of lung cancer difficult and thus identifying its mechanisms can contribute to the society. Identifying unique conserved patterns common to contributing proto-oncogenes may further be a boon to Pharmacogenomics and pharmacoinformatics. This calls for ab initio/de novo drug discovery that in turn will require a comprehensive in silico approach of Sequence, Domain, Phylogenetic and Structural analysis of the receptors, ligand screening and optimization and detailed Docking studies. This brief involves extensive role of the RAS subfamily that includes a set of proteins, which cause an over expression of cancer-causing genes like M-ras and initiate tumour formation in lungs. SNP Studies and Structure based drug discovery will also be undertaken.
  table of contents: Introduction -- Review of Literature -- Materials and Methods (Tools and Databases) -- Flowchart -- Conclusion.-References.
  note: by Amita Kashyap, D. Bujamma, Naresh Babu M.
  subject:
    topic: Engineering
  subject:
    topic: Cancer research
  subject:
    topic: Health informatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Cancer Research
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Health Informatics
  subject:
    topic: Appl.Mathematics/Computational Methods of 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: 9789814585088
  identifier: http://dx.doi.org/10.1007/978-981-4585-08-8
  record info:
    record creation date: 140908
    record change date: 20151103130709.0
    record identifier: 978-981-4585-08-8