[HTML][HTML] Extracting interactions between proteins from the literature

D Zhou, Y He - Journal of biomedical informatics, 2008 - Elsevier
During the last decade, biomedicine has witnessed a tremendous development. Large
amounts of experimental and computational biomedical data have been generated along …

Mining the pharmacogenomics literature—a survey of the state of the art

U Hahn, KB Cohen, Y Garten… - Briefings in …, 2012 - academic.oup.com
This article surveys efforts on text mining of the pharmacogenomics literature, mainly from
the period 2008 to 2011. Pharmacogenomics (or pharmacogenetics) is the field that studies …

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents

I Segura-Bedmar, P Martínez, C de Pablo-Sánchez - BMC bioinformatics, 2011 - Springer
Background A drug-drug interaction (DDI) occurs when one drug influences the level or
activity of another drug. The increasing volume of the scientific literature overwhelms health …

Benchmarking natural-language parsers for biological applications using dependency graphs

AB Clegg, AJ Shepherd - BMC bioinformatics, 2007 - Springer
Background Interest is growing in the application of syntactic parsers to natural language
processing problems in biology, but assessing their performance is difficult because …

[PDF][PDF] Multi-way relation classification: application to protein-protein interactions

B Rosario, MA Hearst - … and Conference on Empirical Methods in …, 2005 - aclanthology.org
We address the problem of multi-way relation classification, applied to identification of the
interactions between proteins in bioscience text. A major impediment to such work is the …

[HTML][HTML] BioPPISVMExtractor: A protein–protein interaction extractor for biomedical literature using SVM and rich feature sets

Z Yang, H Lin, Y Li - Journal of biomedical informatics, 2010 - Elsevier
Protein–protein interactions play a key role in various aspects of the structural and functional
organization of the cell. Knowledge about them unveils the molecular mechanisms of …

Learning relations from biomedical corpora using dependency trees

S Katrenko, P Adriaans - International Workshop on Knowledge Discovery …, 2006 - Springer
In this paper we address the relation learning problem in the biomedical domain. We
propose a representation which takes into account the syntactic information and allows for …

BactInt: A domain driven transfer learning approach for extracting inter-bacterial associations from biomedical text

KD Baksi, V Pokhrel, AE Pudavar, SS Mande… - … Biology and Chemistry, 2024 - Elsevier
Background The healthy as well as dysbiotic state of an ecosystem like human body is
known to be influenced not only by the presence of the bacterial groups in it, but also with …

Mining gene-disease relationships from biomedical literature: weighting protein–protein interactions and connectivity measures

G Gonzalez, JC Uribe, L Tari, C Brophy… - Biocomputing …, 2007 - World Scientific
Motivation: The promises of the post-genome era disease-related discoveries and advances
have yet to be fully realized, with many opportunities for discovery hiding in the millions of …

Literature mining of host–pathogen interactions: comparing feature-based supervised learning and language-based approaches

T Thieu, S Joshi, S Warren, D Korkin - Bioinformatics, 2012 - academic.oup.com
Motivation: In an infectious disease, the pathogen's strategy to enter the host organism and
breach its immune defenses often involves interactions between the host and pathogen …