Corporate Banner
Satellite Banner
Genomics
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

Software Could Help Predict and Eliminate Allergens

Published: Thursday, May 01, 2014
Last Updated: Thursday, May 01, 2014
Bookmark and Share
It’s well known that allergies and asthma are on the rise around the globe, with food allergies in children alone rising 50% from 1997 to 2011.

Chris Lawrence and Ha Dang, researchers from the Virginia Bioinformatics Institute and the Department of Biological Sciences in the College of Science at Virginia Tech, have created Allerdictor, a new computational approach and software that helps predict allergens. A scientific article describing this method was recently published in the journal Bioinformatics.

“As more biotechnology derived products like new protein-based therapeutics or genetically modified plants are developed, it becomes increasingly important for potential allergens to be identified and dealt with before these come to market," said Lawrence, the project director. "Predicting allergens more accurately will also aid in basic scientific research.”

The Virginia Tech scientists report that Allerdictor predicts allergens with very high accuracy at fast speeds. Instead of using standard approaches for identifying allergens, Allerdictor uses machine-learning approaches — methods borrowed from artificial intelligence research — to learn and apply that learning to analyze large-scale submissions for the presence of allergens. 

This approach makes it easier and faster to scan large sequences of data, eliminating allergens and making sure businesses and consumers are protected.

Ha Dang, the first author of the paper and the developer of Allerdictor, said, “This new approach for identifying potential allergens is also applicable when analyzing the vast amount of genomic data that is being produced from various DNA sequencing projects worldwide. Most current methods of allergen prediction tend to be slow and inaccurate, yielding false positives that skew the data. Allerdictor literally takes minutes to analyze entire genomes.”

Allerdictor is available free online for educational and nonprofit public use.


Further Information

Join For Free

Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 3,000+ scientific posters on ePosters
  • More than 4,400+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.


Scientific News
Cell Transplant Treats Parkinson’s in Mice
A University of Wisconsin—Madison neuroscientist has inserted a genetic switch into nerve cells so a patient can alter their activity by taking designer drugs that would not affect any other cell.
Understanding Female HIV Transmission
Glowing virus maps points of entry through entire female reproductive tract for first time.
Genetic Markers Influence Addiction
Differences in vulnerability to cocaine addiction and relapse linked to both inherited traits and epigenetics, U-M researchers find.
A lncRNA Regulates Repair of DNA Breaks in Breast Cancer Cells
Findings give "new insight" into biology of tough-to-treat breast cancer.
Detection of HPV in First-Void Urine
Similar sensitivity of HPV test on first void urine sample compared to cervical smear.
Shape Of Tumor May Affect Whether Cells Can Metastasize
Illinois researchers found that the shape of a tumor may play a role in how cancer cells become primed to spread.
Computational Model Finds New Protein-Protein Interactions
Researchers at University of Pittsburgh have discovered 500 new protein-protein interactions (PPIs) associated with genes linked to schizophrenia.
MicroRNA Pathway Could Lead to New Avenues for Leukemia Treatment
Cancer researchers at the University of Cincinnati have found a particular signaling route in microRNA (miR-22) that could lead to targets for acute myeloid leukemia, the most common type of fast-growing cancer of the blood and bone marrow.
Analysis of Dog Genome will Provide Insight into Human Disease
An important model in studying human disease, the non-coding RNA of the canine genome is an essential starting point for evolutionary and biomedical studies – according to a new study led by The Genome Analysis Centre (TGAC).
New Insights into Gene Regulation
Researchers have solved the three-dimensional structure of a gene repression complex that is known to play a role in cancer.
Skyscraper Banner

SELECTBIO Market Reports
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
3,000+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
4,400+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FOR FREE!