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María Herrero-Zazo

Researcher at European Bioinformatics Institute

Publications -  11
Citations -  529

María Herrero-Zazo is an academic researcher from European Bioinformatics Institute. The author has contributed to research in topics: Ontology (information science) & Domain (software engineering). The author has an hindex of 6, co-authored 11 publications receiving 384 citations. Previous affiliations of María Herrero-Zazo include Carlos III Health Institute & Charles III University of Madrid.

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The DDI corpus

TL;DR: A manually annotated corpus consisting of 792 texts selected from the DrugBank database and other 233 Medline abstracts, annotated with a total of 18,502 pharmacological substances and 5028 DDIs, including both PK as well as PD interactions, shows that the corpus has enough quality to be used for training and testing NLP techniques applied to the field of Pharmacovigilance.
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Lessons learnt from the DDIExtraction-2013 Shared Task

TL;DR: This edition has been the first attempt to compare the performance of Information Extraction techniques specific for each of the basic steps of the DDI extraction pipeline and shows advances in the state of the art and demonstrates that significant challenges remain to be resolved.
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DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their Mechanisms.

TL;DR: This project has been developed using currently available semantic web technologies, standards, and tools, and it is demonstrated that the combination of drug-related facts in DINTO and Semantic Web Rule Language (SWRL) rules can be used to infer DDIs and their different mechanisms on a large scale.

An Ontology for Drug-drug Interactions.

TL;DR: DINTO is proposed, an ontology for drug-drug interactions and their mechanisms that represents all the possible mechanisms that can lead to a DDI and the classes, relationships and overall structure of DINTO are described.
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Conceptual models of drug-drug interactions

TL;DR: The scope, content, final implementation and applications of CMs of the DDI domain are compared to identify which aspects of DDIs have been conceptualized, characterize how this information has been modeled by different research groups, describe how each CM has been translated and illustrate the applications generated from the final models.