Only knowledgebase that updates its data content on a daily basis!

XTractor Knowledgebase

XTractor is the first of its kind web 2.0 application which enables researchers to analyze the most current complex biological and chemical relationships published in PUBMED everyday. XTractor Knowledgebase now contains more than 100000 relationships on interactions, regulations and modulations between proteins, drugs, processes and disease. It is the only knowledgebase that updates its data content on a daily basis.

The Approach:

The Data behind XTractor comes from manual annotation, which is carried out by qualified scientists at Molecular Connections, INDIA (www.molecularconnections.com). Our scientists regularly handpick and annotate the most relevant sentences to public ontologies. Each of the data points is quality checked to ensure the highest levels of data accuracy. The extracted facts are also referenced back to the PubMed abstract(s).The sentences in XTractor are also manually categorized into 9 definite categories such as Gene - Gene relationships, Gene-Disease relationships, Knockout/Knockdown studies, Mutation studies, Gene - Drug interactions, Gene - Biological Process, Biomarker - Disease correlations, Drug - Disease and Pathways studies. These mappings help the researcher to draw inferences from the enormous data heap that gets processed everyday.

XTractor Knowledgebase Statistics:

The data content in XTractor is highly diverse. Our scientists screen through the most relevant abstracts published by PUBMED everyday and on an average approx. 600 relationships/sentences get added to XTractor everyday.

The Knowledgebase currently contains:

• 722 Unique Drugs
• 2227 Unique Diseases
• 7538 Unique Proteins
• 1400 Unique Biological Processes

The total Facts / Relationships in XTractor Knowledgebase are as follows:

• Facts with Proteins : 110924
• Facts with Diseases : 53002
• Facts with Drugs : 12422
• Facts with Biological Process : 31613
• Facts with Relationships : 72412

The categorized Relationships Statistics in XTractor Knowledgebase are as follows:

• Marker/Biomarker related: 1906
• Drug- Disease related: 3908
• Gene- Disease related: 47339
• Gene- Drug related: 8751
• Gene- Gene related: 37746
• Knockout/Knockdown related: 8956
• Mutation related: 11794
• Pathways related: 8692
• Gene- Process related: 25040

To get annotated facts of your choice of Proteins, Diseases, Drugs or Biological Processes, register for FREE Weekly Alerts from XTractor at www.xtractor.in, which alerts you as & when new data for your queries gets added to your profile Every Week.

For enquiries on XTractor Knowledgebase please contact: xtractor@molecularconnections.com

Be part of XTractor community.

• XTractor the first of its kind - Literature alert service, provides manually curated & annotated sentences for the Keywords of your choice
  
• XTractor maps, extracted entities (genes, processes, drugs, diseases etc) to multiple ontologies
  
• Enables customized report generation. With XTractor the sentences are categorized into biologically significant relationships
  
• The categorized sentences could then be tagged and shared across multiple users
  
• Provides users with the ability to create his own database for a set of Key terms
  
• Users could change the Keywords of preference from time to time, with changing research needs
  
• XTractor thus proves to be a platform for getting real-time highly accurate data along with the ability to Share and collaborate
  
  

Sign up it's free, and takes less than a minute. Just click here:www.xtractor.in.