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CRISPR-Mediated Reorganization of Chromatin Loop Structure
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SCALOP: sequence-based antibody canonical loop structure annotation.

Wing Ki Wong1, Guy Georges2, Francesca Ros2

  • 1Department of Statistics, University of Oxford, Oxford, UK.

Bioinformatics (Oxford, England)
|October 16, 2018
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Summary
This summary is machine-generated.

SCALOP annotates antibody complementarity-determining regions (CDRs) canonical forms rapidly and accurately. This tool accelerates the analysis of CDR structures in large antibody repertoire datasets.

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Area of Science:

  • Immunoinformatics
  • Structural Biology
  • Computational Biology

Background:

  • Antibody canonical forms approximate binding site shape and are sequence-predictable.
  • Accurate annotation of canonical forms is crucial for analyzing large antibody repertoire datasets from next-generation sequencing.

Purpose of the Study:

  • To develop a rapid and accurate tool for annotating antibody complementarity-determining region (CDR) canonical forms.
  • To facilitate the analysis of CDR structures in large-scale antibody repertoire data.

Main Methods:

  • Developed SCALOP, a computational tool for CDR canonical form annotation.
  • Integrated an auto-updating database to ensure up-to-date cluster information.
  • Evaluated SCALOP's accuracy and speed against standard structural predictors.

Main Results:

  • SCALOP achieves accuracy comparable to standard structural predictors.
  • SCALOP is 800 times faster than traditional methods.
  • The auto-updating database ensures optimal coverage of CDR canonical forms.

Conclusions:

  • SCALOP provides a significantly faster method for CDR canonical form annotation.
  • This tool enhances the analysis of antibody repertoire data by enabling rapid structural annotation.
  • SCALOP is accessible as a web application and downloadable software.