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Target validation and drug repositioning The world is looking for new drugs and new ways to use existing ones.

This means that scientists need to be able to quickly identify target opportunities from vast amounts of human genome research and search for hidden connections in millions of drug documents.

Without SciBite, each of these tasks can be incredibly time-consuming, frustrating and have a much smaller chance of success. But SciBite makes the whole process much simpler by creating clean, annotated machine-readable data that can be searched and analyzed with ease. 

The advantages of using SciBite
Icon - Rapid identification
Rapid identification

Semantic analytics speed up the process of finding drug-target-indication relationships from heterogeneous and cross-disciplinary sources. 

Icon - Reveal hidden connections
Reveal hidden connections

SciBite helps scientists spot links between existing drugs and alternative conditions by standardizing and organizing data from separate sources. 

Icon - View wider pathways
View wider pathways

Having more control over your data gives you the capability to explore the overall pathway and systems context of your work. 

Overview The seemingly endless wave of new data represents both a challenge and an opportunity for the pharmaceutical and biotech industries.

The availability of so much more data should be exciting, as it signals the availability of more vital information, more targets and potentially more cures. Unfortunately, these breakthroughs are often hidden in an unstructured mix of formats and documents, but SciBite clears the clutter and provides a path to the data you need. 

Wheat field
Recognize target opportunities early

The majority of new targets are still first identified in the scientific literature, so having a greater ability to review literature from multiple sources can give you a real competitive advantage. Early recognition of a target opportunity often leads to significant financial benefits, for example, having new information about the target of a late-stage trial can have huge economic ramifications.

Drug repurposing

Rare diseases affect around 6-7% of the population in the developed world, but the cost of developing new (or orphan) drugs for this audience can be prohibitively expensive. SciBite helps organizations search for ways to repurpose existing drugs to treat other conditions, by helping scientists efficiently analyze research and cross-reference safety profiles, ingredients, side-effects and trial data.

Take a closer look at semantic analytics

Our blog explores the importance of a systematic, data-driven approach to drug repositioning and how SciBite can help you achieve better results.

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