- Info
Search results
—
275 items matching your search terms
Subscribe to an always-updated feed of these search terms
-
Update author information
-
-
Applicability domain and Structural Analogues
-
-
Load a model and carry out a prediction
-
-
Special Instructions for Linux users
-
-
Add authors and date to the QPRF report
-
-
Create a new QPRF report and enter compound data
-
-
Q-edit
-
Generate QPRF Reports using Q-edit
-
An Extensive Multi-label Analysis of the ToxCast Data Set
-
Joerg Wicker, Julian Lemke and Stefan Kramer, TU München, 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
-
Parallel Structural Graph Clustering
-
Madeleine Seeland, Technical University Munich, Germany
Simon A. Berger, Heidelberg Institute for Theoretical Studies, Germany
Tobias Girschick, Technical ...
-
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
-
Kevin Cross
-
Development of Pharmaceutical QSAR Models for Regulatory Purposes
-
Mark Cronin
-
Using Adverse Outcome Pathways to Group Chemicals into Toxicologically Relevant Categories
-
Paul Bradley
-
Repurposing of drug label information to create actionable intelligence with BioWisdom's Metawise
-
Tom Aldenberg
-
Dependence between Models and Tests in Predictive Toxicology
-
posters
-
Download PDF files of posters
-
Abstracts
-
Abstracts of accepted speaker presentations
-
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 ...
-
Data integration. A case study
-
Nina Jeliazkova, IdeaConsult, Bulgaria
-
In silico pKa prediction
-
Robert Körner, Iurii Sushko, Sergii Novotarskyi and Igor Tetko, eADMET GmbH, Germany
-
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
-
Mixture Risk Assessment of Atrazine, Chlorpyrifos and Endosulfan
-
Ahmad Nawaz, George De Sousa and Roger Rahmani, INRA, France
-
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
-
Defining Protein Reactivity Through Electrophilic Chemistry to Allow for Chemical Grouping and Read-Across
-
Steve Enoch and Mark Cronin, Liverpool John Moores University, UK
-
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 ...
-
Bioinformatics-based identification of assays that inform on disease hazard
-
Scott Auerbach, Raymond Tice and Kristine Thayer, National Toxicology Program at NIEHS, USA
-
LoMoGraph (Local Models for Graph Classification and Regression)
-
Fabian Buchwald, Tobias Girschick, Madeleine Seeland and Stefan Kramer, TUM, 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
-
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
-
In Silico Modelling of Phospholipidosis: Improving Predictive Performance Through the Use of Structural Fragments
-
Katarzyna Przybylak and Mark Cronin, Liverpool John Moores University, UK
|