Paratome: An online tool for systematic identification of antigen-binding regions in antibodies based on sequence or structure

Vered Kunik, Shaul Ashkenazi, Yanay Ofran

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

Antibodies are capable of specifically recognizing and binding antigens. Identification of the antigen-binding site, commonly dubbed paratope, is of high importance both for medical and biological applications. To date, the identification of antigen-binding regions (ABRs) relies on tools for the identification of complementarity-determining regions (CDRs). However, we have shown that up to 22 of the residues that actually bind the antigen fall outside the traditionally defined CDRs. The Paratome web server predicts the ABRs of an antibody, given its amino acid sequence or 3D structure. It is based on a set of consensus regions derived from a structural alignment of a non-redundant set of all known antibody-antigen complexes. Given a query sequence or structure, the server identifies the regions in the query antibody that correspond to the consensus ABRs. An independent set of antibody-antigen complexes was used to test the server and it was shown to correctly identify at least 94 of the antigen-binding residues. The Paratome web server is freely available at http://www.ofranlab.org/paratome/.

Original languageEnglish
Pages (from-to)W521-W524
JournalNucleic Acids Research
Volume40
Issue numberW1
DOIs
StatePublished - Jul 2012

Bibliographical note

Funding Information:
Funding for open access charge: Research grant from the Israel Science Foundation [511].

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