XTractor is the first of its kind web 2.0 platform which enables researchers to analyze the most current complex biological and chemical relationships published in PUBMED everyday. XTractor Knowledgebase provides more than 1 million facts on interactions, regulations and modulations between proteins, drugs, processes and disease.
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 24 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. 50000 relationships/facts get added to XTractor every month.
The Knowledgebase currently contains:
- 1370 Unique Drugs
- 3879 Unique Diseases
- 12358 Unique Proteins
- 3866 Unique Biological Processes
The total Facts / Relationships in XTractor Knowledgebase are as follows:
- Facts with Proteins : 606537
- Facts with Diseases : 481154
- Facts with Drugs : 166235
- Facts with Biological Process : 281467
- Facts with Relationships : 532398
The total Facts / Relationships in XTractor Knowledgebase are as follows:
- Marker/Biomarker related: 6929
- Drug- Disease related: 56478
- Gene- Disease related: 223431
- Gene- Drug related: 60383
- Gene- Gene related: 202985
- Knockout/Knockdown related: 36698
- Mutation related: 58798
- Pathways related: 35969
- Gene- Process related: 174260
For enquiries on XTractor Knowledgebase please contact:
xtractor@molecularconnections.com