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Related Experiment Videos

SRPDB (signal recognition particle database).

C Zwieb1, T Samuelsson

  • 1Department of Molecular Biology, The University of Texas Health Science Center at Tyler, 11937 US Highway 271, Tyler, TX 75708-3154, USA. zwieb@uthct.edu

Nucleic Acids Research
|December 11, 1999
PubMed
Summary
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The Signal Recognition Particle Database (SRPDB) has been updated with new RNA and protein sequences, enhancing its utility for studying protein secretion. This resource provides valuable data and tools for researchers investigating SRP function.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Structural Biology

Background:

  • The Signal Recognition Particle (SRP) is crucial for protein secretion and targeting within cells.
  • Comprehensive databases are essential for organizing and accessing SRP-related genetic and structural information.

Purpose of the Study:

  • To announce the latest release and expansion of the Signal Recognition Particle Database (SRPDB).
  • To provide an updated, centralized resource for SRP RNA, SRP protein, and SRP receptor data.
  • To facilitate research on protein secretion and SRP pathway mechanisms.

Main Methods:

  • Database curation and maintenance of SRP-related sequences.
  • Integration of new SRP RNA, SRP protein (SRP19, SRP54/ffh), and SRP receptor alpha subunit (FtsY) sequences.

Related Experiment Videos

  • Development of sequence alignments, phylogenetic analyses, and motif identification tools.

    • Main Results:

    • The SRPDB now includes 117 SRP RNA, 15 SRP19, 52 SRP54 (ffh), and 36 SRP receptor alpha subunit (FtsY) sequences.
    • Enhanced data organization with alphabetical and phylogenetic ordering.
    • Inclusion of sequence alignments, secondary structure diagrams, 3D models, and crystal structure coordinates.

    Conclusions:

    • The updated SRPDB serves as a comprehensive and accessible resource for the scientific community.
    • The database supports research into SRP function, protein secretion, and related molecular mechanisms.
    • Availability of diverse data types, from sequences to structural information, aids in detailed analysis.