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RPBS: a web resource for structural bioinformatics.

C Alland1, F Moreews, D Boens

  • 1EBGM, INSERM U726, Université Paris 7, France.

Nucleic Acids Research
|June 28, 2005
PubMed
Summary
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The Ressource Parisienne en Bioinformatique Structurale (RPBS) provides unique structural bioinformatics tools. These include AUTOMAT for sequence scanning, YAKUSA for structure scanning, and WLOOP for homology loop modeling.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Biotechnology

Background:

  • Structural bioinformatics is crucial for understanding protein function and drug discovery.
  • Access to specialized tools is essential for advancing research in this field.

Purpose of the Study:

  • To introduce the Ressource Parisienne en Bioinformatique Structurale (RPBS) as a key resource.
  • To highlight unique and powerful structural bioinformatics methods offered by RPBS.

Main Methods:

  • RPBS offers AUTOMAT for efficient sequence databank scanning.
  • RPBS provides YAKUSA for comprehensive structure databank scanning.
  • RPBS features WLOOP for advanced homology loop modeling.

Main Results:

Related Experiment Videos

  • RPBS integrates specialized tools for structural bioinformatics tasks.
  • The resource provides unique functionalities for sequence and structure analysis.
  • WLOOP enables effective homology-based modeling of protein loops.

Conclusions:

  • RPBS serves as a valuable hub for structural bioinformatics research.
  • The unique tools offered by RPBS enhance capabilities in sequence and structure analysis.
  • RPBS facilitates advancements in protein structure prediction and related fields.