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Anália Lourenço
Researcher at University of Vigo
Publications - 135
Citations - 3370
Anália Lourenço is an academic researcher from University of Vigo. The author has contributed to research in topics: Biomedical text mining & Web mining. The author has an hindex of 21, co-authored 131 publications receiving 2580 citations. Previous affiliations of Anália Lourenço include University of Minho & University of Navarra.
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Journal ArticleDOI
Probiotics, gut microbiota, and their influence on host health and disease.
Borja Sánchez,Susana Delgado,Aitor Blanco-Míguez,Anália Lourenço,Anália Lourenço,Miguel Gueimonde,Abelardo Margolles +6 more
TL;DR: The aim of this review was to compile the molecular mechanisms underlying the beneficial effects of probiotics, mainly through their interaction with the intestinal microbiota and with the intestine mucosa.
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Critical review on biofilm methods
Joana Azeredo,Nuno F. Azevedo,Romain Briandet,Nuno Cerca,Tom Coenye,Ana Rita Costa,Mickaël Desvaux,Giovanni Di Bonaventura,Michel Hébraud,Zoran Jaglic,Miroslava Kačániová,Susanne Knøchel,Anália Lourenço,Filipe Mergulhão,Rikke Louise Meyer,George Nychas,Manuel Simões,Odile Tresse,Claus Sternberg +18 more
TL;DR: This review aims at helping scientists in finding the most appropriate and up-to-date methods to study their biofilms by giving a critical perspective, highlighting the advantages and limitations of several methods.
Journal ArticleDOI
Extraction of Pharmacokinetic Evidence of Drug-Drug Interactions from the Literature
TL;DR: It is demonstrated that literature mining can aid DDI discovery by supporting automatic extraction of specific types of experimental evidence, especially in classification of evidence sentences.
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Information retrieval and text mining technologies for chemistry
Martin Krallinger,Obdulia Rabal,Anália Lourenço,Anália Lourenço,Julen Oyarzabal,Alfonso Valencia +5 more
TL;DR: This Review provides a comprehensive and in-depth description of fundamental concepts, technical implementations, and current technologies for meeting information demands of chemical information contained in scientific literature, patents, technical reports, or the web.
Journal ArticleDOI
Text mining for the biocuration workflow
Lynette Hirschman,Gully A. P. C. Burns,Martin Krallinger,Cecilia N. Arighi,K. Bretonnel Cohen,Alfonso Valencia,Cathy H. Wu,Andrew Chatr-aryamontri,Karen G. Dowell,Eva Huala,Anália Lourenço,Robert J Nash,Anne-Lise Veuthey,Thomas C. Wiegers,Andrew G. Winter +14 more
TL;DR: Analysis of interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow that can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community.