Named entity recognition and relation detection for biomedical information extraction

N Perera, M Dehmer, F Emmert-Streib - Frontiers in cell and …, 2020 - frontiersin.org
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

Information retrieval and text mining technologies for chemistry

M Krallinger, O Rabal, A Lourenco, J Oyarzabal… - Chemical …, 2017 - ACS Publications
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

[HTML][HTML] How close are we to complete annotation of metabolomes?

MR Viant, IJ Kurland, MR Jones, WB Dunn - Current opinion in chemical …, 2017 - Elsevier
Highlights•No exhaustive experimental characterisation of an organism's metabolome
reported.•Deep metabolome annotation strategies based on multi-platform …

The CHEMDNER corpus of chemicals and drugs and its annotation principles

M Krallinger, O Rabal, F Leitner, M Vazquez… - Journal of …, 2015 - Springer
The automatic extraction of chemical information from text requires the recognition of
chemical entity mentions as one of its key steps. When developing supervised named entity …

Path2Models: large-scale generation of computational models from biochemical pathway maps

F Büchel, N Rodriguez, N Swainston, C Wrzodek… - BMC systems …, 2013 - Springer
Background Systems biology projects and omics technologies have led to a growing
number of biochemical pathway models and reconstructions. However, the majority of these …

[HTML][HTML] PKDE4J: Entity and relation extraction for public knowledge discovery

M Song, WC Kim, D Lee, GE Heo, KY Kang - Journal of biomedical …, 2015 - Elsevier
Due to an enormous number of scientific publications that cannot be handled manually,
there is a rising interest in text-mining techniques for automated information extraction …

[HTML][HTML] Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery

DB Kell, R Goodacre - Drug Discovery Today, 2014 - Elsevier
Highlights•We now have metabolic network models; the metabolome is represented by their
nodes.•Metabolite levels are sensitive to changes in enzyme activities.•Drugs hitchhike on …

Thalia: semantic search engine for biomedical abstracts

AJ Soto, P Przybyła, S Ananiadou - Bioinformatics, 2019 - academic.oup.com
Although the publication rate of the biomedical literature has been growing steadily during
the last decades, the accessibility of pertinent research publications for biologist and …

Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets

DK Barupal, S Fan, O Fiehn - Current opinion in biotechnology, 2018 - Elsevier
Highlights•Statistics has become a commodity and serves as entry into data interpretation.•
Metabolic pathway databases are incomplete and disagree on pathway …

The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks

N Swainston, K Smallbone, P Mendes… - Journal of integrative …, 2011 - degruyter.com
The generation and use of metabolic network reconstructions has increased over recent
years. The development of such reconstructions has typically involved a time-consuming …