Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Available Formats

Dublin Core: XML Dublin Core: JSON Dublin Core: Text Dublin Core: RDF/XML UNTL: XML Access METS: XML

Title

  • Main Title Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center

Creator

  • Author: Kim, Sung-Hou
    Creator Type: Personal
  • Author: Shin, Dong Hae
    Creator Type: Personal
  • Author: Hou, Jingtong
    Creator Type: Personal
  • Author: Chandonia, John-Marc
    Creator Type: Personal
  • Author: Das, Debanu
    Creator Type: Personal
  • Author: Choi, In-Geol
    Creator Type: Personal
  • Author: Kim, Rosalind
    Creator Type: Personal
  • Author: Kim, Sung-Hou
    Creator Type: Personal

Contributor

  • Sponsor: Lawrence Berkeley National Laboratory. Physical Biosciences Division.
    Contributor Type: Organization

Publisher

  • Name: Lawrence Berkeley National Laboratory
    Place of Publication: Berkeley, California
    Additional Info: Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (United States)

Date

  • Creation: 2007-09-02

Language

  • English

Description

  • Content Description: Advances in sequence genomics have resulted in an accumulation of a huge number of protein sequences derived from genome sequences. However, the functions of a large portion of them cannot be inferred based on the current methods of sequence homology detection to proteins of known functions. Three-dimensional structure can have an important impact in providing inference of molecular function (physical and chemical function) of a protein of unknown function. Structural genomics centers worldwide have been determining many 3-D structures of the proteins of unknown functions, and possible molecular functions of them have been inferred based on their structures. Combined with bioinformatics and enzymatic assay tools, the successful acceleration of the process of protein structure determination through high throughput pipelines enables the rapid functional annotation of a large fraction of hypothetical proteins. We present a brief summary of the process we used at the Berkeley Structural Genomics Center to infer molecular functions of proteins of unknown function.

Subject

  • Keyword: Protein Structure
  • Keyword: Acceleration
  • STI Subject Categories: 59
  • Keyword: Pipelines
  • Keyword: Functionals
  • Keyword: Proteins
  • Keyword: Detection

Source

  • Journal Name: Journal of Structural and Functional Genomics

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: LBNL-584E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 934757
  • Archival Resource Key: ark:/67531/metadc899795
Back to Top of Screen