Browsing by Author "Sanz, Ferran"

Sort by: Order: Results:

  • A continuous in silico learning strategy to identify safety liabilities in compounds used in the leather and textile industry
    March-Vila, Eric; Ferretti, Giacomo; Terricabras, Emma; Ardao, Inés; Brea, José Manuel; Varela, María José; Arana, Álvaro; Rubiolo, Juan Andrés; Sanz, Ferran; Loza, María I.; Sánchez, Laura; Alonso, Héctor; Pastor Maeso, Manuel (Springer, 2023)
    There is a widely recognized need to reduce human activity's impact on the environment. Many industries of the leather and textile sector (LTI), being aware of producing a significant amount of residues (Keßler et al. 2021; ...
  • An automated tool for obtaining QSAR-ready series of compounds using semantic web technologies
    López-Massaguer, Oriol; Sanz, Ferran; Pastor Maeso, Manuel (Oxford University Press, 2018)
    SUMMARY: We describe an application (Collector) for obtaining series of compounds annotated with bioactivity data, ready to be used for the development of quantitative structure-activity relationships (QSAR) models. The ...
  • An ensemble learning approach for modeling the systems biology of drug-induced injury
    Aguirre Plans, Joaquim, 1993-; Piñero González, Janet, 1977-; Souza, Terezinha; Callegaro, Giulia; Kunnen, Steven J.; Sanz, Ferran; Fernández Fuentes, Narcís; Furlong, Laura I., 1971-; Guney, Emre; Oliva Miguel, Baldomero (BioMed Central, 2021)
    Background: Drug-induced liver injury (DILI) is an adverse reaction caused by the intake of drugs of common use that produces liver damage. The impact of DILI is estimated to affect around 20 in 100,000 inhabitants worldwide ...
  • Automatic filtering and substantiation of drug safety signals
    Bauer-Mehren, Anna; van Mulligen, Erik M.; Avillach, Paul; Carrascosa Baena, María Carmen, 1972-; García Serna, Ricard; Piñero González, Janet, 1977-; Singh, Barat; Lopes, Pedro; Oliveira, José Luis; Diallo, Gayo; Ahlberg Helgee, Ernst; Boyer, Scott; Mestres i López, Jordi; Sanz, Ferran; Kors, Jan A.; Furlong, Laura I., 1971- (Public Library of Science (PLoS), 2012)
    Drug safety issues pose serious health threats to the population and constitute a major cause of mortality worldwide. Due to the prominent implications to both public health and the pharmaceutical industry, it is of great ...
  • A chemocentric approach to the identification of cancer targets
    Flachner, Beáta; Lorincz, Zsolt; Carotti, Angelo; Nicolotti, Orazio; Kuchipudi, Praveena; Kuchipudi, Praveena; Remez Vinogradov, Nikita, 1985-; Sanz, Ferran; Tóvári, József; Szabo, Miklós J; Bertók, Béla; Cseh, Sándor; Mestres i López, Jordi; Dormán, György (Public Library of Science (PLoS), 2012)
    A novel chemocentric approach to identifying cancer-relevant targets is introduced. Starting with a large chemical collection, the strategy uses the list of small molecule hits arising from a differential cytotoxicity ...
  • Clinical-based and expert selection of terms related to depression for twitter streaming and language analysis
    Leis Machín, Angela 1974-; Mayer, Miguel Ángel, 1960-; Ronzano, Francesco; Torrens, Marta; Castillo, Claudio; Furlong, Laura I., 1971-; Sanz, Ferran (IOS Press, 2020)
    People use language to express their thoughts and feelings, unveiling important aspects of their psychological traits and social interactions. Although there are several studies describing methodologies to create a collection ...
  • Comorbidity between Alzheimer's disease and major depression: a behavioural and transcriptomic characterization study in mice
    Martín Sánchez, Ana; Piñero González, Janet, 1977-; Nonell Mazelón, Lara; Arnal, Magdalena; Ribe, Elena; Nevado-Holgado, Alejo J.; Lovestone, Simon; Sanz, Ferran; Furlong, Laura I., 1971-; Valverde, Olga (BioMed Central, 2021)
    Background: Major depression (MD) is the most prevalent psychiatric disease in the population and is considered a prodromal stage of the Alzheimer's disease (AD). Despite both diseases having a robust genetic component, ...
  • comoRbidity: an R package for the systematic analysis of disease comorbidities
    Gutiérrez Sacristán, Alba; Bravo Serrano, Àlex, 1984-; Giannoula, Alexia; Mayer, Miguel Ángel, 1960-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2018)
    MOTIVATION: The study of comorbidities is a major priority due to their impact on life expectancy, quality of life and healthcare cost. The availability of electronic health records (EHRs) for data mining offers the ...
  • COVID-19 and beyond: a call for action and audacious solidarity to all the citizens and nations, it is humanity’s fight
    Auffray, Charles; Sanz, Ferran; Wouters, Emiel (F1000Research, 2020)
    Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to a subgroup of coronaviruses rampant in bats for centuries. It caused the coronavirus disease 2019 (COVID-19) pandemic. Most patients ...
  • Detecting signs of depression in tweets in spanish: behavioral and linguistic analysis
    Leis Machín, Angela 1974-; Ronzano, Francesco; Mayer, Miguel Ángel, 1960-; Furlong, Laura I., 1971-; Sanz, Ferran (JMIR Publications, 2019)
    Background: Mental disorders have become a major concern in public health, and they are one of the main causes of the overall disease burden worldwide. Social media platforms allow us to observe the activities, thoughts, ...
  • Development of an infrastructure for the prediction of biological endpoints in industrial environments. Lessons learned at the eTOX Project
    Pastor Maeso, Manuel; Quintana, Jordi; Sanz, Ferran (Frontiers Media, 2018)
    In silico methods are increasingly being used for assessing the chemical safety of substances, as a part of integrated approaches involving in vitro and in vivo experiments. A paradigmatic example of these strategies is ...
  • Discussion of "The New Role of Biomedical Informatics in the Age of Digital Medicine".
    Al-Shorbaji, Najeeb; Bellazzi, Riccardo; Gonzalez Bernaldo de Quiros, Fernan; Koch, Stefanie; Kulikowski, Casimir A.; Lovell, Nigel; Maojo, Victor; Park, Hyeoun-Ae; Sanz, Ferran; Sarkar, Indra N.; Tanaka, Hiroshi (Schattauer, 2016)
    This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "The New Role of Biomedical Informatics in the Age of Digital Medicine" written by Fernando J. Martin-Sanchez and ...
  • DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.
    Queralt Rosinach, Núria; Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press , 2016)
    MOTIVATION: DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web. Gene-disease associations (GDAs) and their provenance metadata are published as human-readable and machine-processable ...
  • DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
    Piñero González, Janet, 1977-; Bravo Serrano, Àlex, 1984-; Queralt Rosinach, Núria; Gutiérrez Sacristán, Alba; Déu Pons, Jordi; Centeno, Emilio; García-García, Javier, 1982-; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2017)
    The information about the genetic basis of human diseases lies at the heart of precision medicine and drug discovery. However, to realize its full potential to support these goals, several problems, such as fragmentation, ...
  • DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes.
    Piñero González, Janet, 1977-; Queralt Rosinach, Núria; Bravo Serrano, Àlex, 1984-; Déu Pons, Jordi; Bauer-Mehren, Anna; Baron, Martin; Sanz, Ferran; Furlong, Laura I., 1971- (Oxford University Press, 2015)
    DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380,000 associations between >16,000 genes and 13,000 ...
  • Drug-induced acute myocardial infarction: identifying 'prime suspects' from electronic healthcare records-based surveillance system
    Coloma, Preciosa M.; Furlong, Laura I., 1971-; Bauer-Mehren, Anna; Sanz, Ferran; Mestres i López, Jordi; Sturkenboom, Miriam (Public Library of Science (PLoS), 2013)
    Background: Drug-related adverse events remain an important cause of morbidity and mortality and impose huge burden on healthcare costs. Routinely collected electronic healthcare data give a good snapshot of how drugs are ...
  • A dynamic view of molecular switch behavior at serotonin receptors: implications for functional selectivity
    Martí Solano, Maria; Sanz, Ferran; Pastor Maeso, Manuel; Selent, Jana (Public Library of Science (PLoS), 2014)
    Functional selectivity is a property of G protein-coupled receptors that allows them to preferentially couple to particular signaling partners upon binding of biased agonists. Publication of the X-ray crystal structure of ...
  • The eTOX data-sharing project to advance in Silico drug-induced toxicity prediction
    Cases, Montserrat; Briggs, Katharine; Steger-Hartmann, Thomas; Pognan, François; Marc, Philippe; Kleinöder, Thomas; Schwab, Christof H.; Pastor Maeso, Manuel; Wichard, Jörg; Sanz, Ferran (MDPI, 2014)
    The high-quality in vivo preclinical safety data produced by the pharmaceutical industry during drug development, which follows numerous strict guidelines, are mostly not available in the public domain. These safety data ...
  • eTOXlab, an open source modeling framework for implementing predictive models in production environments.
    Carrió Gaspar, Pau, 1982-; López, Oriol; Sanz, Ferran; Pastor Maeso, Manuel (BioMed Central , 2015)
    BACKGROUND: Computational models based in Quantitative-Structure Activity Relationship (QSAR) methodologies are widely used tools for predicting the biological properties of new compounds. In many instances, such models ...
  • Evaluación de los sistemas de acreditación de webs sanitarias: la experiencia de Web Médica Acreditada
    Mayer Pujadas, Miguel Ángel (Universitat Pompeu Fabra, 2011-04-12)
    La utilització d'Internet com a font d'informació sanitària és molt freqüent. La qualitat d'aquesta informació és extraordinàriament variable. Els segells de qualitat presents a les webs mediques, concedits per sistemes ...