Mondobiotech Holding AG Company presentation

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The Model • Knowledge from literature is interpreted as a network of concepts (nodes) and relations among them (links) • Concepts are well-defined and relevant biological or medical entities such as peptides, proteins, receptors, physiological pathways, biological processes, symptoms and diseases • Exploiting the techniques of the mathematical theory of networks, data-driven analyses can be performed against the knowledge network to search for emergent patterns, highlighting or detecting unnoticed and indirect relations among concepts • Specifically, we focus on matching the information on peptides and biological processes with the patho-physiological signs and symptoms of the rare diseases • We use a different approach, defining links between concepts as words co-occurrences within sentences in literature • In our model each link is given a numeric measure of relevance (weight), depending on the syntactic structure of the sentence it is extracted from • As more and more papers are analyzed, links are added or their weight increased Structured bio knowledge-based cloud 12
The Search and Match Software Platform The software platform comprises two systems: • the Search is a fully automated software collecting articles from external sources, analyzing them with a syntactic parser and with a semantic analyzer, and eventually producing a structured permanent set of data representing a knowledge network • the Match is an interactive tool of analysis able to filter and scan the knowledge network, producing ranked lists of compound candidates, which constitutes the groundwork of the biological validation process performed by the scientific team World Wide Web Data Collector Search Match Syntactic parser Semantic analyzer User Interface Knowledge Analyzer Match finder Match ranker Match Archive Knowledge graph database 13
Page 1 and 2: Mondobiotech Holding AG Company pre
Page 3 and 4: mondoBIOTECH at a glance • Headqu
Page 5 and 6: Board of Directors Robert Edward Pa
Page 7 and 8: Our approach to drug discovery •
Page 9 and 10: Introduction to the Search&Match me
Page 11: The Model • Knowledge from litera
Page 15 and 16: Match • Any path through the know
Page 17 and 18: Match - a multi-technique approach
Page 19 and 20: Bio-Mathematical Technology Platfor
Page 21 and 22: Match - Project DK-0112-01 21
Page 23 and 24: Match - Project DK-1001-01 23
Page 25 and 26: MPC Validation: the mondoBIOTECH Co
Page 27 and 28: Set up of new projects PROJECT SET
Page 29 and 30: Intellectual Property Strategy & Cu
Page 31 and 32: mondoBIOTECH’s IP Strategy Two in
Page 33 and 34: mondoBIOTECH’s IP Strategy: Two I
Page 35 and 36: Orphan Drug Designations 10 Granted
Page 37 and 38: Why Peptides Peptides characteristi
Page 40 and 41: Diversifying the Risk in Drug Disco
Page 42 and 43: Current Pipeline DasKloster 1000-01
Page 46: Scientific Snapshot Information: DK
Page 49 and 50: Scientific Snapshot Information: DK
Page 51 and 52: Products licensed DasKloster 1001-0
Page 53 and 54: Licensed Products • Aviptadil pla
Page 55: mondoBIOTECH holding AG DasKloster

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