NETWORK INTELLIGENCE WITH SCIBITE

D E L I V E R I N G C R I T I C A L B U S I N E S S I N S I G H T S F O R P H A R M A A N D B I O T E C H

H T T P : / / S C I B I T E . C O M

@ S C I B I T E L Y

[C]2012 SCIBITE. REPRODUCTION BY ANY MEANS IS PROHIBITED.

Aim: Demonstrate how SciBite network views enable rapid understanding of “hot” areas concerning a target, drug, disease or company.

Example: You want to understand current activity around a particular company – here GlaxoSmithKline (GSK) is used but the same approach applies to any target, company, indication, drug or even miRNA, pathway, technology…

Source: Any article (literature, blogs, news, patents, grants,

trials) from the last 6 months that mentions GSK along with other high-confidence associations between Genes, Drugs, Indications and Companies

Results: Visualised in Cytoscape

The GSK News Network Target Drug Indication Company

Zoom in on an interesting cluster

By simply zooming in on the region, one can immediately understand a relationship between GSK and Cephalon in the Leukemia/Lymphoma area. The relationship is competitive, with Arzerra (GSK) and Bendamustine (Trenda, Cephalon) for the same indication (CLL)

What about this cluster? Its clear there is a strong relationship with GSK

Gabapentin Enacarbil for neuralgia GSK/XenoPort collaboration

Another cluster, again seems like a strong relationship

Immediately see how they are connected.

GSK/Ligand collaboration for Thrombocytopenia

OK, Tell me something interesting……

But why is Eltrombopag connected to Leukemia? Answer: New study from the US shows inhibits leukemia cell proliferation. Repurposing Opportunity?

Using network analysis we were able to gain a very rapid overview of the activity landscape for Glaxosmithkline (GSK)

Clusters of companies, drugs and indications allow us to understand who GSK is competing with, in what areas

The visual display of data makes it easy to see where larger areas of activity are, and identify highly related targets, drugs, companies and indications

Looking closely at clusters enables us to acknowledge the topics we know of and delve deeper into those of which we might be unaware. As in the case of Eltrombopag, the network view allowed us to identify novel connections and potential repurposing opportunities.

In conclusion, network analysis with SciBite provides an unprecedented picture of the activity landscape on any major drug discovery topic.

If you’re interested in learning more, please contact us at info <at> scibite.com

Thanks for reading!