SCALOP: sequence-based antibody canonical loop structure annotation.
Wong, Wing Ki 1; Georges, Guy 2; Ros, Francesca 2; Kelm, Sebastian 3; Lewis, Alan P 4; Taddese, Bruck 5; Leem, Jinwoo 1; Deane, Charlotte M 1
[Miscellaneous Article] Bioinformatics. 35(10):1774-1776, May 15, 2019.

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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.

(C) Copyright Oxford University Press 2019.