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Allerdictor specifications

Information


Unique identifier OMICS_08457
Name Allerdictor
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Protein sequences
Input format FASTA, raw
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability No
Maintained No

Taxon


  • Primates
    • Homo sapiens

Versioning


No version available

Maintainer


This tool is not available anymore.

Information


Unique identifier OMICS_08457
Name Allerdictor
Interface Web user interface
Restrictions to use None
Input data Protein sequences
Input format FASTA, raw
Programming languages Python
Computer skills Basic
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Maintainer


This tool is not available anymore.

Publication for Allerdictor

Allerdictor citations

 (6)
library_books

Investigation of immunogenic properties of Hemolin from silkworm, Bombyx mori as carrier protein: an immunoinformatic approach

2018
Sci Rep
PMCID: 5934409
PMID: 29725106
DOI: 10.1038/s41598-018-25374-z

[…] Allerdictor fast allergen prediction tool (http://allerdictor.vbi.vt.edu/) was used to check the allergenicity of the protein. The allergens and non-allergens were identified using a classic SVM metho […]

library_books

Alternaria Toxins: Potential Virulence Factors and Genes Related to Pathogenesis

2017
Front Microbiol
PMCID: 5550700
PMID: 28848500
DOI: 10.3389/fmicb.2017.01451

[…] HI-base (Winnenburg et al., ) for pathogenicity-related candidate genes, CAZY database (Cantarel et al., ) and dbCAN (Yin et al., ) for active carbohydrates enzymes, BLAST based homology searches and Allerdictor for the identity of allergens (Dang and Lawrence, ), batched BLAST search tools from MEROPS database (Rawlings et al., ) for protease annotation and SMURF were used for SMs (Khaldi et al., […]

library_books

Improving protein content and quality by over expressing artificially synthetic fusion proteins with high lysine and threonine constituent in rice plants

2016
Sci Rep
PMCID: 5039639
PMID: 27677708
DOI: 10.1038/srep34427

[…] //www.allergenonline.org/index.shtml). The results showed that no sequence homology was found in the database. We have also used AllerHunter (http://tiger.dbs.nus.edu.sg/AllerHunter/running.html) and Allerdictor (http://allerdictor.vbi.vt.edu/predict/) for allergen prediction of TKTKK1 and TKTKK2. No potential allergen was predicted. Thus, both employed rice genes and the designed TKTKK motifs cou […]

library_books

In silico proposition to predict cluster of B and T cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni

2016
PMCID: 4932005
PMID: 27376537
DOI: 10.1186/s40203-016-0020-y

[…] The epitopes were subjected to analyze for comparing conservancy among different strains retrieved from different countries of the world using IEDB analysis tool. Besides, Allerdictor tool was employed to find out whether these proposed epitopes showed any kind of allergenicity (Dang and Lawrence, ). It is a fast and accurate sequence-based allergen prediction tool that […]

library_books

De Novo Transcriptome Analysis and Detection of Antimicrobial Peptides of the American Cockroach Periplaneta americana (Linnaeus)

2016
PLoS One
PMCID: 4864078
PMID: 27167617
DOI: 10.1371/journal.pone.0155304

[…] stablished using a predefined bioinformatics strategy with parameters defined previously []. In addition to this previous strategy, the allergenic propensity of the peptides was also determined using Allerdictor software []. Finally, the AMPs were mapped with the CAMP database [] and classified as novel and known AMPs. To classify the predicted AMPs as novel, sequences were matched to the CAMP dat […]

library_books

The Alternaria genomes database: a comprehensive resource for a fungal genus comprised of saprophytes, plant pathogens, and allergenic species

2015
BMC Genomics
PMCID: 4387663
PMID: 25887485
DOI: 10.1186/s12864-015-1430-7

[…] AST search against PHI-base []. Carbohydrate Active Enzymes were identified according to the CAZY database [] and dbCAN []. Potential allergens were identified using BLAST based homology searches and Allerdictor []. Proteases were annotated using the batched BLAST search tool from the MEROPS database []. Secondary metabolites were identified using SMURF []. […]

Citations

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Allerdictor institution(s)
Virginia Bioinformatics Institute and Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA
Allerdictor funding source(s)
National Institute of Health, USA (1R21AI094071-01) (CBL) and the Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia

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