Literature DB >> 20570001

Event extraction for systems biology by text mining the literature.

Sophia Ananiadou1, Sampo Pyysalo, Jun'ichi Tsujii, Douglas B Kell.   

Abstract

Systems biology recognizes in particular the importance of interactions between biological components and the consequences of these interactions. Such interactions and their downstream effects are known as events. To computationally mine the literature for such events, text mining methods that can detect, extract and annotate them are required. This review summarizes the methods that are currently available, with a specific focus on protein-protein interactions and pathway or network reconstruction. The approaches described will be of considerable value in associating particular pathways and their components with higher-order physiological properties, including disease states.

Mesh:

Year:  2010        PMID: 20570001     DOI: 10.1016/j.tibtech.2010.04.005

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  75 in total

Review 1.  Management of Dynamic Biomedical Terminologies: Current Status and Future Challenges.

Authors:  M Da Silveira; J C Dos Reis; C Pruski
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.

Authors:  Yan Xu; Kai Hong; Junichi Tsujii; Eric I-Chao Chang
Journal:  J Am Med Inform Assoc       Date:  2012-05-14       Impact factor: 4.497

3.  Towards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature.

Authors:  Rong Xu; Li Li; Quanqiu Wang
Journal:  Bioinformatics       Date:  2013-07-04       Impact factor: 6.937

Review 4.  Community challenges in biomedical text mining over 10 years: success, failure and the future.

Authors:  Chung-Chi Huang; Zhiyong Lu
Journal:  Brief Bioinform       Date:  2015-05-01       Impact factor: 11.622

Review 5.  Text-mining solutions for biomedical research: enabling integrative biology.

Authors:  Dietrich Rebholz-Schuhmann; Anika Oellrich; Robert Hoehndorf
Journal:  Nat Rev Genet       Date:  2012-11-14       Impact factor: 53.242

6.  Automatic construction of a large-scale and accurate drug-side-effect association knowledge base from biomedical literature.

Authors:  Rong Xu; QuanQiu Wang
Journal:  J Biomed Inform       Date:  2014-06-10       Impact factor: 6.317

7.  Signalling network construction for modelling plant defence response.

Authors:  Dragana Miljkovic; Tjaša Stare; Igor Mozetič; Vid Podpečan; Marko Petek; Kamil Witek; Marina Dermastia; Nada Lavrač; Kristina Gruden
Journal:  PLoS One       Date:  2012-12-18       Impact factor: 3.240

8.  Mining metabolites: extracting the yeast metabolome from the literature.

Authors:  Chikashi Nobata; Paul D Dobson; Syed A Iqbal; Pedro Mendes; Jun'ichi Tsujii; Douglas B Kell; Sophia Ananiadou
Journal:  Metabolomics       Date:  2010-10-31       Impact factor: 4.290

Review 9.  Text mining applications in psychiatry: a systematic literature review.

Authors:  Adeline Abbe; Cyril Grouin; Pierre Zweigenbaum; Bruno Falissard
Journal:  Int J Methods Psychiatr Res       Date:  2015-07-17       Impact factor: 4.035

10.  Text mining meets workflow: linking U-Compare with Taverna.

Authors:  Yoshinobu Kano; Paul Dobson; Mio Nakanishi; Jun'ichi Tsujii; Sophia Ananiadou
Journal:  Bioinformatics       Date:  2010-08-12       Impact factor: 6.937

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