Direct use of information extraction from scientific text for modeling and simulation in the life sciences
Identifieur interne : 000978 ( Main/Exploration ); précédent : 000977; suivant : 000979Direct use of information extraction from scientific text for modeling and simulation in the life sciences
Auteurs : M. Hppner ; Martin Hofmanapitius [Allemagne] ; Erfan Younesi [Allemagne] ; Vinod Kasam [Allemagne]Source :
- Library Hi Tech [ 0737-8831 ] ; 2009-11-20.
Abstract
Purpose The purpose of this paper is to demonstrate how the information extracted from scientific text can be directly used in support of life science research projects. In modern digitalbased research and academic libraries, librarians should be able to support data discovery and organization of digital entities in order to foster research projects effectively thus the paper aims to speculate that text mining and knowledge discovery tools could be of great assistance to librarians. Such tools simply enable librarians to overcome increasing complexity in the number as well as contents of scientific literature, especially in the emerging interdisciplinary fields of science. This paper seeks to present an example of how evidences extracted from scientific literature can be directly integrated into in silico disease models in support of drug discovery projects. Designmethodologyapproach The application of textmining as well as knowledge discovery tools is explained in the form of a knowledgebased workflow for drug target candidate identification. Moreover, an in silico experimentation framework is proposed for the enhancement of efficiency and productivity in the early steps of the drug discovery workflow. Findings The in silico experimentation workflow has been successfully applied to searching for hit and lead compounds in the Worldwide In Silico Docking On Malaria WISDOM project and to finding novel inhibitor candidates. Practical implications Direct extraction of biological information from text will ease the task of librarians in managing digital objects and supporting research projects. It is expected that textual data will play an increasingly important role in evidencebased approaches taken by biomedical and translational researchers. Originalityvalue The proposed approach provides a practical example for the direct integration of text and knowledgebased data into life science research projects, with the emphasis on their application by academic and research libraries in support of scientific projects.
Url:
DOI: 10.1108/07378830911007637
Affiliations:
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In modern digitalbased research and academic libraries, librarians should be able to support data discovery and organization of digital entities in order to foster research projects effectively thus the paper aims to speculate that text mining and knowledge discovery tools could be of great assistance to librarians. Such tools simply enable librarians to overcome increasing complexity in the number as well as contents of scientific literature, especially in the emerging interdisciplinary fields of science. This paper seeks to present an example of how evidences extracted from scientific literature can be directly integrated into in silico disease models in support of drug discovery projects. Designmethodologyapproach The application of textmining as well as knowledge discovery tools is explained in the form of a knowledgebased workflow for drug target candidate identification. Moreover, an in silico experimentation framework is proposed for the enhancement of efficiency and productivity in the early steps of the drug discovery workflow. Findings The in silico experimentation workflow has been successfully applied to searching for hit and lead compounds in the Worldwide In Silico Docking On Malaria WISDOM project and to finding novel inhibitor candidates. Practical implications Direct extraction of biological information from text will ease the task of librarians in managing digital objects and supporting research projects. It is expected that textual data will play an increasingly important role in evidencebased approaches taken by biomedical and translational researchers. Originalityvalue The proposed approach provides a practical example for the direct integration of text and knowledgebased data into life science research projects, with the emphasis on their application by academic and research libraries in support of scientific projects.</div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>District de Cologne</li><li>Rhénanie-du-Nord-Westphalie</li></region><settlement><li>Sankt Augustin</li></settlement></list><tree><noCountry><name sortKey="Hppner, M" sort="Hppner, M" uniqKey="Hppner M" first="M." last="Hppner">M. 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