Allerdictor statistics

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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


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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 in publications

 (3)
PMCID: 5039639
PMID: 27677708
DOI: 10.1038/srep34427

[…] 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 […]

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

[…] coverage calculation., 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 […]

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

[…] 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 […]


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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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