Dataset Information
SCALOP: sequence-based antibody canonical loop structure annotation.
Ontology highlight
ABSTRACT: Motivation
Canonical forms of the antibody complementarity-determining regions (CDRs) were first described in 1987 and have been redefined on multiple occasions since. The canonical forms are often used to approximate the antibody binding site shape as they can be predicted from sequence. A rapid predictor would facilitate the annotation of CDR structures in the large amounts of repertoire data now becoming available from next generation sequencing experiments.Results
SCALOP annotates CDR canonical forms for antibody sequences, supported by an auto-updating database to capture the latest cluster information. Its accuracy is comparable to that of a standard structural predictor but it is 800 times faster. The auto-updating nature of SCALOP ensures that it always attains the best possible coverage.Availability and implementation
SCALOP is available as a web application and for download under a GPLv3 license at opig.stats.ox.ac.uk/webapps/scalop.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Wong WK
PROVIDER: S-EPMC6513161 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Publications
SCALOP: sequence-based antibody canonical loop structure annotation.
Bioinformatics (Oxford, England) 20190501 10
<h4>Motivation</h4>Canonical forms of the antibody complementarity-determining regions (CDRs) were first described in 1987 and have been redefined on multiple occasions since. The canonical forms are often used to approximate the antibody binding site shape as they can be predicted from sequence. A rapid predictor would facilitate the annotation of CDR structures in the large amounts of repertoire data now becoming available from next generation sequencing experiments.<h4>Results</h4>SCALOP anno ...[more]