A new way to explore PubMed

Biovista Vizit is a knowledge graph exploration platform that integrates data from various heterogeneous biomedical resources. By overlaying structured biomedical datasets with literature evidence, Vizit empowers researchers to explore genes, diseases, pathways, and clinical outcomes through an intuitive interactive graph. For each connection, multi-modal supporting evidence is provided, linking back to the original biomedical corpus, like MEDLINE, HPO, PDB, AOP, and ClinicalTrials.gov.

Add a name of a biomedical term in the Vizit whiteboard. Then ask Vizit to find connected terms. And unlike PubMed or Google, instead of a list of publications or pages, get a live graph of related terms.

Click below to view examples!

For example, look up a disease and ask Vizit to show genes, or pathways associated with it.

Find Post-translational modifications related with a disease.

Find common genes between co-morbid medical conditions.

Find relevant Microbiome organisms to one or more diseases.

Explore non-obvious links between two or more medical conditions via genes.

All cross referenced in all available corpora such as MEDLINE, HPO etc.

• Genes from human/mouse/rat plus >200 other model organisms, including genes from the Human Microbiome Project.
• Pathways, Complexes and Biosystems from Gene Ontology, KEGG, Reactome and more.
• Diseases and Medical conditions covered in UMLS.
• Cell lines from leading catalogues, including ATCC, CLDB and others.
• Over 60 Post-translational modifications (phosphorylation, glycosylation and more).
• Laboratory, diagnostic and medical tests and procedures.

With Biovista Vizit, scientists with similar research interests can self organize into virtual communities.

Users can save the networks they create. And they can share their insights with their peers.

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