Microsoft powerpoint - text mining - pharma perspective public.ppt

Pfizer Global R&D Sandwich Laboratories Cognitive Bandwidth vs. Domain Complexity • Biology is too big and complex to fit in • We need knowledge about causation• We need knowledge systems as part of – We don’t know what we don’t know– We don’t even know what we do know – To my target?– To my project?– To my disease? – .related to target biology?– .related to secondary pharmacology? • We cannot reliably make discoveries by • Data integration alone is insufficient• We need Systematic context-driven • Biology domain is too big and complex to – Browsing and correlation can’t get us there • We need systems to generate testable – Based on experimental results– Based on literature • We need to use these systems to extract – To build rationale– To identify likely risks Generic drug discovery hypothesis structure: “A drug against Target X will treat Disease Y” “Show me all the diseases associated
with PDE5 from scientific literature

There’s ~ 6000 curated diseasesHere’s just one: (ASTHMA or asthmatic or Acute severe asthma or Asthmaticus or phosphodiesterase V or phosphodiesterase 12 million
phosphodiesterase-5 or phosphodiesterase PDE(5A) or phosphodiesterase (PDE) 5A or 4 billion words
methylxanthine or zaprinast or tadalafil or vardenafil or SKF-96231 or YC-1 or DMPPO or UK-83405 or Sch-51866 or UK-343664 or WIN-65579 or GF-248 or T-1032 or SR- Statistical co-occurrence and Natural Language Processing used to identify evidence with high PharmaMatrix - US Patent No. US2005060305 17th March 2003 Hopkins el al.
Text-mining and data integration can provide confidence-in-rationale level How do we know we are working on the best projects? Statistical and ontological text-mining can be used to infer new hypotheses – context of the pharma programme is critical • Comprehensive assessment of target and address perceived risks and build rationale – Design experimental strategies to address – Select projects with greater confidence of • Text mining technologies can make an


Referências bibliográficas ACLEY, K. L., DAY, J. A. and CARUSO, J. A. Separation of metallopoprphyrins by electrophoresis with UV detection and inductively coupled plasma mass spectrometric detection. 2002. Journal of Chromatography A , vol. 888, pp 293- BARROS NETO. B., SCARMINIO, I. S. e BRUNS, R. E. Como fazer experimentos – pesquisa e desenvolvimento na ciência e na indústri

Microsoft word - estatuto.doc

ESTATUTO DE LA FEDERACIÓN DEPORTIVA PERUANA DE BASKETBALL Estatuto: Regla que tiene fuerza de Ley. Fines, Funciones y Obligaciones de la Federación Admisión, Renuncia y Exclusión de los Asociados Visto el Informe Nº 267-GENADAF-2000 de 07 de Noviembre 2000; Que las Federaciones Deportivas Nacionales son los órganos rectores de su correspondiente disciplina deportiva debiendo r

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