ArticleNucleic acids research2012
A database of immunoglobulins with integrated tools: DIGIT.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Unveiling Interaction Signatures Across Viral Pathogens through VASCO: Viral Antigen-Antibody Structural COmplex dataset.bioRxiv : the preprint server for biology · 2025Article
- AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information.Frontiers in immunology · 2022Article
- Computational approaches to therapeutic antibody design: established methods and emerging trends.Briefings in bioinformatics · 2020Review
- How repertoire data are changing antibody science.The Journal of biological chemistry · 2020Review
- The ABCD database: a repository for chemically defined antibodies.Nucleic acids research · 2020Article
- AbRSA: A robust tool for antibody numbering.Protein science : a publication of the Protein Society · 2019Article
- Humanization of Antibodies using a Statistical Inference Approach.Scientific reports · 2018Article
- Structural Characterization and Function Prediction of Immunoglobulin-like Fold in Cell Adhesion and Cell Signaling.Journal of chemical information and modeling · 2018Article
- AbDb: antibody structure database-a database of PDB-derived antibody structures.Database : the journal of biological databases and curation · 2018Article
- Promiscuous antibodies characterised by their physico-chemical properties: From sequence to structure and back.Progress in biophysics and molecular biology · 2017Article
- How B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data.Frontiers in immunology · 2017Review
- A novel approach to probe host-pathogen interactions of bovine digital dermatitis, a model of a complex polymicrobial infection.BMC genomics · 2016Article
- ABodyBuilder: Automated antibody structure prediction with data-driven accuracy estimation.mAbs · 2016Article
- Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity.PLoS computational biology · 2016Article
- Progress and challenges in predicting protein interfaces.Briefings in bioinformatics · 2016Review
- Tabhu: tools for antibody humanization.Bioinformatics (Oxford, England) · 2015Article
- PyIgClassify: a database of antibody CDR structural classifications.Nucleic acids research · 2015Article
- Antibody modeling using the prediction of immunoglobulin structure (PIGS) web server [corrected].Nature protocols · 2014Article
- Improving the accuracy of the structure prediction of the third hypervariable loop of the heavy chains of antibodies.Bioinformatics (Oxford, England) · 2014Article
- Antibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction.Proteins · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.