home   genetic news   bioinformatics   biotechnology   literature   journals   ethics   positions   events   sitemap
  HUM-MOLGEN -> Genetic News | search  

PubMed Search by Protein Name

  November, 14 2003 8:06
your information resource in human molecular genetics
ROCKVILLE, MD., November 13, 2003 - Ariadne Genomics, Inc., today announced general availability of its new free web service - PubMed Search by Protein Name. Designed to search for all protein aliases while skipping casual matches, this is the only PubMed search service based on advanced scientific text mining technology. The new service is available at http://www.ariadnegenomics.com/products.

Drastically reducing time bio-medical scientists spend on searching PubMed, an online database of over 12 million abstracts from more than 4,600 biomedical journals published worldwide, the new search service by Ariadne Genomics retrieves abstracts containing all aliases of their proteins of interest, at the same time skipping casual keyword matches. For example, standard PubMed search shows only 18 abstracts for beta1,4-galactosyltransferase, while the new Search by Protein Name by Ariadne Genomics retrieves 429 abstracts for the same protein.

"PubMed search is normally based on keywords, which is not the best way with proteins that often have more than one name," said Anton Yuryev, Director of Application Science, Ariadne Genomics. "New PubMed Search by Protein Name utilizes advanced Natural Language Processing (NLP) engine of our MedScanTM product, enabling a researcher to find abstracts containing all aliases of their protein of interest, and at the same time clean search results from non-relevant entries. The service is free for all bio-scientists worldwide."

The underlying technology for the new web service is MedScanTM by Ariadne Genomics, a text mining tool specifically targeted at automated retrieving protein-related information from scientific texts. All MEDLINE abstracts are indexed using Ariadne Genomics dictionaries of protein names and aliases. Using BitMagic open source technology to significantly accelerate search times and improve computer memory usage, Ariadne Genomics has developed an inexpensive indexing engine for efficient storage and querying of Protein - Abstract relations generated by MedScanTM from the entire MEDLINE database.


About Ariadne Genomics
Ariadne Genomics is a technology leader in development of proprietary natural language processing (NLP) and statistical algorithms designed to functionally interpret novel genetic information.
Ariadne Genomics offers software tools and knowledge bases for systems biology: PathwayAssist for visualization and analysis of cell regulatory pathways, MedScan, an automated data mining tool for scientific literature (MEDLINE abstracts), DiscoveryCore, a super fast scientific database management system, DAS Browser for navigation and analysis of completely sequenced genomes, and ResNet, a comprehensive database of molecular networks derived from MEDLINE data. More on Ariadne Genomics please find at www.ariadnegenomics.com.


About BitMagic
BitMagic is an open-source software technology which greatly accelerates calculation on sparse vectors. BitMagic library stores linear vectors in the computer memory in a compact form. The BitMagic source code is available at http://bmagic.sourceforge.net.

# # #

Natalie Alexandrova
Marketing Director
Ariadne Genomics Inc.

tel: 847-644-1557
fax: 240-453-6208
e-mail: natal@ariadnegenomics.com

Message posted by: Frank S. Zollmann

print this article mail this article
Latest News
Variants Associated with Pediatric Allergic Disorder

Mutations in PHF6 Found in T-Cell Leukemia

Genetic Risk Variant for Urinary Bladder Cancer

Antibody Has Therapeutic Effect on Mice with ALS

Regulating P53 Activity in Cancer Cells

Anti-RNA Therapy Counters Breast Cancer Spread

Mitochondrial DNA Diversity

The Power of RNA Sequencing

‘Pro-Ageing' Therapy for Cancer?

Niche Genetics Influence Leukaemia

Molecular Biology: Clinical Promise for RNA Interference

Chemoprevention Cocktail for Colon Cancer

more news ...

Generated by News Editor 2.0 by Kai Garlipp
WWW: Kai Garlipp, Frank S. Zollmann.
7.0 © 1995-2023 HUM-MOLGEN. All rights reserved. Liability, Copyright and Imprint.