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Mondobiotech Holding AG Company presentation

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The Model<br />

• Knowledge from literature is interpreted as a<br />

network of concepts (nodes) and relations among<br />

them (links)<br />

• Concepts are well-defined and relevant biological<br />

or medical entities such as peptides, proteins,<br />

receptors, physiological pathways, biological<br />

processes, symptoms and diseases<br />

• Exploiting the techniques of the mathematical<br />

theory of networks, data-driven analyses can be<br />

performed against the knowledge network to<br />

search for emergent patterns, highlighting or<br />

detecting unnoticed and indirect relations among<br />

concepts<br />

• Specifically, we focus on matching the information<br />

on peptides and biological processes with the<br />

patho-physiological signs and symptoms of the rare<br />

diseases<br />

• We use a different approach, defining links<br />

between concepts as words co-occurrences within<br />

sentences in literature<br />

• In our model each link is given a numeric measure<br />

of relevance (weight), depending on the syntactic<br />

structure of the sentence it is extracted from<br />

• As more and more papers are analyzed, links are<br />

added or their weight increased<br />

Structured bio knowledge-based cloud<br />

12

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