Literature DB >> 33800393

The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives.

François Pognan1, Thomas Steger-Hartmann2, Carlos Díaz3, Niklas Blomberg4, Frank Bringezu5, Katharine Briggs6, Giulia Callegaro7, Salvador Capella-Gutierrez8, Emilio Centeno9, Javier Corvi8, Philip Drew10, William C Drewe6, José M Fernández8, Laura I Furlong9,11, Emre Guney9, Jan A Kors12, Miguel Angel Mayer9, Manuel Pastor9, Janet Piñero9, Juan Manuel Ramírez-Anguita9, Francesco Ronzano9, Philip Rowell6, Josep Saüch-Pitarch9, Alfonso Valencia8,13, Bob van de Water7, Johan van der Lei12, Erik van Mulligen12, Ferran Sanz9.   

Abstract

eTRANSAFE is a research project funded within the Innovative Medicines Initiative (IMI), which aims at developing integrated databases and computational tools (the eTRANSAFE ToxHub) that support the translational safety assessment of new drugs by using legacy data provided by the pharmaceutical companies that participate in the project. The project objectives include the development of databases containing preclinical and clinical data, computational systems for translational analysis including tools for data query, analysis and visualization, as well as computational models to explain and predict drug safety events.

Entities:  

Keywords:  data mining; data sharing; drug safety; integrative knowledge management; predictive modelling; read across; toxicology; translational safety assessment

Year:  2021        PMID： 33800393      PMCID： PMC7999019          DOI： 10.3390/ph14030237

Source DB:  PubMed          Journal:  Pharmaceuticals (Basel)        ISSN： 1424-8247


  28 in total

Review 1.  Concordance of the toxicity of pharmaceuticals in humans and in animals.

Authors:  H Olson; G Betton; D Robinson; K Thomas; A Monro; G Kolaja; P Lilly; J Sanders; G Sipes; W Bracken; M Dorato; K Van Deun; P Smith; B Berger; A Heller
Journal:  Regul Toxicol Pharmacol       Date:  2000-08       Impact factor: 3.271

2.  Toxicogenomic module associations with pathogenesis: a network-based approach to understanding drug toxicity.

Authors:  J J Sutherland; Y W Webster; J A Willy; G H Searfoss; K M Goldstein; A R Irizarry; D G Hall; J L Stevens
Journal:  Pharmacogenomics J       Date:  2017-04-25       Impact factor: 3.550

3.  Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project.

Authors:  Paul Avillach; Jean-Charles Dufour; Gayo Diallo; Francesco Salvo; Michel Joubert; Frantz Thiessard; Fleur Mougin; Gianluca Trifirò; Annie Fourrier-Réglat; Antoine Pariente; Marius Fieschi
Journal:  J Am Med Inform Assoc       Date:  2012-11-29       Impact factor: 4.497

Review 4.  Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.

Authors:  Richard J Weaver; Eric A Blomme; Amy E Chadwick; Ian M Copple; Helga H J Gerets; Christopher E Goldring; Andre Guillouzo; Philip G Hewitt; Magnus Ingelman-Sundberg; Klaus Gjervig Jensen; Satu Juhila; Ursula Klingmüller; Gilles Labbe; Michael J Liguori; Cerys A Lovatt; Paul Morgan; Dean J Naisbitt; Raymond H H Pieters; Jan Snoeys; Bob van de Water; Dominic P Williams; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2019-11-20       Impact factor: 84.694

5.  Use of ClinicalTrials.gov to estimate condition-specific nocebo effects and other factors affecting outcomes of analgesic trials.

Authors:  M Soledad Cepeda; Victor Lobanov; Jesse A Berlin
Journal:  J Pain       Date:  2013-02-28       Impact factor: 5.820

6.  Integrative Modeling Strategies for Predicting Drug Toxicities at the eTOX Project.

Authors:  Ferran Sanz; Pau Carrió; Oriol López; Luigi Capoferri; Derk P Kooi; Nico P E Vermeulen; Daan P Geerke; Floriane Montanari; Gerhard F Ecker; Christof H Schwab; Thomas Kleinöder; Tomasz Magdziarz; Manuel Pastor
Journal:  Mol Inform       Date:  2015-06-11       Impact factor: 3.353

Review 7.  The exposome and health: Where chemistry meets biology.

Authors:  Roel Vermeulen; Emma L Schymanski; Albert-László Barabási; Gary W Miller
Journal:  Science       Date:  2020-01-24       Impact factor: 47.728

8.  Open TG-GATEs: a large-scale toxicogenomics database.

Authors:  Yoshinobu Igarashi; Noriyuki Nakatsu; Tomoya Yamashita; Atsushi Ono; Yasuo Ohno; Tetsuro Urushidani; Hiroshi Yamada
Journal:  Nucleic Acids Res       Date:  2014-10-13       Impact factor: 16.971

9.  The eTOX data-sharing project to advance in silico drug-induced toxicity prediction.

Authors:  Montserrat Cases; Katharine Briggs; Thomas Steger-Hartmann; François Pognan; Philippe Marc; Thomas Kleinöder; Christof H Schwab; Manuel Pastor; Jörg Wichard; Ferran Sanz
Journal:  Int J Mol Sci       Date:  2014-11-14       Impact factor: 5.923

10.  ChEMBL: towards direct deposition of bioassay data.

Authors:  David Mendez; Anna Gaulton; A Patrícia Bento; Jon Chambers; Marleen De Veij; Eloy Félix; María Paula Magariños; Juan F Mosquera; Prudence Mutowo; Michal Nowotka; María Gordillo-Marañón; Fiona Hunter; Laura Junco; Grace Mugumbate; Milagros Rodriguez-Lopez; Francis Atkinson; Nicolas Bosc; Chris J Radoux; Aldo Segura-Cabrera; Anne Hersey; Andrew R Leach
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971
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  2 in total

1.  Increasing the Value of Data Within a Large Pharmaceutical Company Through In Silico Models.

Authors:  Alessandro Brigo; Doha Naga; Wolfgang Muster
Journal:  Methods Mol Biol       Date:  2022

2.  Development of In Silico Methods for Toxicity Prediction in Collaboration Between Academia and the Pharmaceutical Industry.

Authors:  Manuel Pastor; Ferran Sanz; Frank Bringezu
Journal:  Methods Mol Biol       Date:  2022
  2 in total

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