posters
Download PDF files of posters
- Repurposing of drug label information to create actionable intelligence with BioWisdom's Metawise
- Paul Bradley and Jane Reed, BioWisdom (now part of Instem)
- Collaborative Virtual Organization and Infrastructure for Anti-Malarial Drug Design
- Roman Affentranger and Barry Hardy (Douglas Connect), Alessandro Contini (University of Milan), Hugo Gutierrez de Teran (Public Galician Foundation of Genomic Medicine), Jeffrey Wiseman and Matt Clark (Pharmatrope), Jeff Spitzner (Rescentris), Ruben Papoian, William Seibel and Sandra Nelson (University of Cincinnati Drug Discovery Center), Sharon Bryant (Inte:Ligand), Andrew Wilks and Isabelle Lucet (Monash University), and Christian Doerig (EPFL, Lausanne)
- CheS-Mapper: Chemical Space Mapping and Visualization in 3D
- Martin Gütlein and Andreas Karwath, University of Freiburg, Germany Stefan Kramer, Technical University Munich, Germany
- Non-testing strategies – a tiered approach
- Ralf Arno Wess, Harlan Laboratories Ltd., Germany
- Machine Learning Methods for Peptide Toxicity Prediction
- Andrzej Stanisławczyk, AGH University of Science and Technology, Poland Marcin Król, Łukasz Proszek and Mariusz Milik, Selvita SA, Poland
- Assessment of the complementarity of machine learning methods in QSAR modeling using AZOrange
- Jonna Stålring, AstraZeneca, Sweden Pedro Almeida, EngInMotion Ltd/AstraZeneca, Portugal Scott Boyer, AstraZeneca, Sweden
- Predictive uncertainty by analogy – does it make sense?
- Ullrika Sahlin, Linneaus University, Sweden Nina Jeliazkova, IdeaConsult, Bulgaria Tom Aldenberg, RIVM, Netherlands Jonna Stalring, AstraZeneca, Sweden Tomas Öberg, Linneaus University, Sweden
- In Silico Modelling of Phospholipidosis: Improving Predictive Performance Through the Use of Structural Fragments
- Katarzyna Przybylak and Mark Cronin, Liverpool John Moores University, UK
- Elaborate Graph Mining: Exploiting Structural Invariants and Latent Information in Graph Databases to predict REACH-relevant Endpoints
- Andreas Maunz, Institute for Physics, Freiburg University, Germany
- Toxicity Prediction using Support Vector Machines and Random Forest Models based on Maximum Common Substructure Based Algorithm
- Rama Kaalia, Surajit Ray, Om Prakash, Hitesh Patel, and Indira Ghosh, SCIS, Jawaharlal Nehru University, New Delhi, India
- LoMoGraph (Local Models for Graph Classification and Regression)
- Fabian Buchwald, Tobias Girschick, Madeleine Seeland and Stefan Kramer, TUM, Germany
- Bioinformatics-based identification of assays that inform on disease hazard
- Scott Auerbach, Raymond Tice and Kristine Thayer, National Toxicology Program at NIEHS, USA
- A Weight-of-Evidence Approach to Prioritisation based on Consensus across Multiple Sources of Information
- Roman Affentranger and Barry Hardy, Douglas Connect, Switzerland Glenn Myatt, Leadscope, USA Nina Jeliazkova, IdeaConsult, Bulgaria Matthew Clark and Jeff Wiseman, Pharmatrope, USA
- Defining Protein Reactivity Through Electrophilic Chemistry to Allow for Chemical Grouping and Read-Across
- Steve Enoch and Mark Cronin, Liverpool John Moores University, UK
- Pharmacophore based screening and QSAR analysis of structurally diverse compounds for lead selection and optimization against multiple targets
- N.S. Hari Narayana Moorthy, Maria J. Ramos and Pedro A. Fernandes, University of Porto, Portugal
- Mixture Risk Assessment of Atrazine, Chlorpyrifos and Endosulfan
- Ahmad Nawaz, George De Sousa and Roger Rahmani, INRA, France
- Using docking-derived protein-ligand interaction descriptors to increase performance of QSAR models for human CYP450 inhibition
- Sergii Novotarskyi, Iurii Sushko, Robert Koerner and Igor Tetko, eADMET GmbH, Germany
- In silico pKa prediction
- Robert Körner, Iurii Sushko, Sergii Novotarskyi and Igor Tetko, eADMET GmbH, Germany
- Data integration. A case study
- Nina Jeliazkova, IdeaConsult, Bulgaria
- In vitro embryotoxicity testing with human embryonic stem cells reveals markers for all-trans-retinoic acid.
- Smita Jagtap, Kesavan Meganathan, Vilas Wagh, John Antonydas Gaspar, Jürgen Hescheler and Agapios Sachinidis, Institute of Neurophysiology, University of Cologne, Germany
- Parallel Structural Graph Clustering
- Madeleine Seeland, Technical University Munich, Germany Simon A. Berger, Heidelberg Institute for Theoretical Studies, Germany Tobias Girschick, Technical University Munich, Germany Alexandros Stamatakis, Heidelberg Institute for Theoretical Studies, Germany Stefan Kramer, Technical University Munich, Germany
- Stepwise D-Optimal design based on latent variables
- Stefan Brandmeier, Helmholtz Center Munich, Germany Ullrika Sahlin and Tomas Öberg, Linnaeus University, Sweden Igor Tetko, Helmoltz Center Munich, Germany
- Global transcriptional profiling of time dependent multilineage differentiation of human embryonic stem cells and its implications for developmental toxicity assessments
- Kesavan Meganathan, Smita Jagtap, Vilas Wagh, John Gaspar, Jürgen Hescheler and Agapios Sachinidis, Institute of Neurophzsiology, University of Köln, Germany
- An Extensive Multi-label Analysis of the ToxCast Data Set
- Joerg Wicker, Julian Lemke and Stefan Kramer, TU München, Germany