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Collection‐Wide Extraction of Protein‐Protein Interactions


Furrer, Lenz; Clematide, Simon; Marques, Hernani; Rodriguez‐Esteban, Raul; Romacker, Martin; Rinaldi, Fabio (2014). Collection‐Wide Extraction of Protein‐Protein Interactions. In: 6th International Symposium on Semantic Mining in Biomedicine, Aveiro, Portugal, 6 October 2014 - 7 October 2014, 61-66.

Abstract

Evidence in support of relationships among biomedical entities, such as protein-protein interactions, can be gathered from a multiplicity of sources. The larger the pool of evidence, the more likely a given interaction can be considered to be. In the context of biomedical text mining, this elementary observation can be translated into an approach that seeks to find in the literature all available evidence for a given interaction, and thus provides a reliable means to assign it a likelihood score before delivering the results to an end user. In this paper we present the initial results of an on-going collaborative project between a major pharmaceutical company and an academic group with extensive expertise in biomedical text mining, with the goal of extracting protein-protein interactions from a large pool of supporting papers.

Evidence in support of relationships among biomedical entities, such as protein-protein interactions, can be gathered from a multiplicity of sources. The larger the pool of evidence, the more likely a given interaction can be considered to be. In the context of biomedical text mining, this elementary observation can be translated into an approach that seeks to find in the literature all available evidence for a given interaction, and thus provides a reliable means to assign it a likelihood score before delivering the results to an end user. In this paper we present the initial results of an on-going collaborative project between a major pharmaceutical company and an academic group with extensive expertise in biomedical text mining, with the goal of extracting protein-protein interactions from a large pool of supporting papers.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:7 October 2014
Deposited On:04 Dec 2014 17:05
Last Modified:05 Apr 2016 18:33
Publisher:s.n.
Funders:Schweizerischer Nationalfonds
Permanent URL: https://doi.org/10.5167/uzh-101472

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