A database of immunoglobulins with integrated tools: DIGIT.

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Type
Article
Authors
Chailyan, Anna
Tramontano, Anna
Marcatili, Paolo
KAUST Grant Number
KUK-I1-012-43
Date
2011-11-10
Permanent link to this record
http://hdl.handle.net/10754/596755

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Abstract
The DIGIT (Database of ImmunoGlobulins with Integrated Tools) database (http://biocomputing.it/digit) is an integrated resource storing sequences of annotated immunoglobulin variable domains and enriched with tools for searching and analyzing them. The annotations in the database include information on the type of antigen, the respective germline sequences and on pairing information between light and heavy chains. Other annotations, such as the identification of the complementarity determining regions, assignment of their structural class and identification of mutations with respect to the germline, are computed on the fly and can also be obtained for user-submitted sequences. The system allows customized BLAST searches and automatic building of 3D models of the domains to be performed.
Citation
Chailyan A, Tramontano A, Marcatili P (2011) A database of immunoglobulins with integrated tools: DIGIT. Nucleic Acids Research 40: D1230–D1234. Available: http://dx.doi.org/10.1093/nar/gkr806.
Sponsors
King Abdullah University of Science and Technology (KAUST) (Award number KUK-I1-012-43); FIRB Proteomica, Ministery of Health grant (Contract No. Onc_Ord 25/07); IIT SEED project. Funding for open access charge: King Abdullah University of Science and Technology (KAUST) (Award number KUK-I1-012-43).
Publisher
Oxford University Press (OUP)
Journal
Nucleic Acids Research
ISSN
0305-1048
1362-4962
DOI
10.1093/nar/gkr806
PubMed ID
22080506
PubMed Central ID
PMC3245095
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This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.