Authors
Juliane Fluck, Martin Hofmann-Apitius
Publication date
2014/2/1
Source
Drug discovery today
Volume
19
Issue
2
Pages
140-144
Publisher
Elsevier Current Trends
Description
Highlights
- Development of dedicated ontologies supports information extraction and disease modelling in Alzheimer's disease.
- The BioNLP community tackles chemical named entity recognition and pathway curation in 2013 assessments.
- First approaches for the extraction of quantitative values required for pharmacokinetics modelling are published.
Scientific communication in biomedicine is, by and large, still text based. Text mining technologies for the automated extraction of useful biomedical information from unstructured text that can be directly used for systems biology modelling have been substantially improved over the past few years. In this review, we underline the importance of named entity recognition and relationship extraction as fundamental approaches that are relevant to systems biology. Furthermore, we emphasize the role of publicly organized scientific benchmarking challenges that reflect the …
Scholar articles
J Fluck, M Hofmann-Apitius - Drug discovery today, 2014