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+.. |date| date::
+
+
+
+=============================================================
+Read across toxicity predictions with nano-lazar
+=============================================================
+
+.. class:: center
+
+  Christoph Helma
+
+  in silico toxicology gmbh
+
+  .. image:: http://www.enanomapper.net/sites/all/themes/theme807/logo.png
+    :align: center
+
+Requirements
+============
+
+- Nanoparticle characterisation
+- Toxicity measurements
+
+
+eNanoMapper data import
+=======================
+
+.. class:: incremental
+
+  - Nanoparticles imported: 464 
+  - Nanoparticles with particle characterisation: 394 
+  - Nanoparticles with toxicity data: 167 
+  - Nanoparticles with toxicity data and particle characterisation: 160
+
+
+eNanoMapper toxicity endpoints
+==============================
+
+.. class:: incremental
+
+- Toxicity endpoints: 41
+- Toxicity endpoints with more than one measurement value: 22
+- Toxicity endpoints with more than 10 measurements: 2
+
+Selected data
+=============
+
+Protein corona dataset Au particles (106 particles)
+Toxicity endpoint:
+
+Read across procedure
+=====================
+
+.. class:: incremental
+
+- Identify relevant fragments (significant correlation with toxicity)
+  TODO list of fragments, number
+- Calculate similarities (weighted cosine similarity, correlation coefficients = weights)
+- Identify neighbors (particles with more than 0.95 similarity)
+- Calculate prediction (weighted average from neighbors, similarities = weights)
+
+Future development
+==================
+
+- Validation of predictions
+- Applicability domain/reliability of predictions
+
+- Accuracy improvements:
+  - additional data
+  - feature selection
+  - similarity calculation
+  - predictions (local regression models)
+
+- Usability improvements:
+  - additional data (extension of applicability domain, additional endpoints and chemistries)
+  - inclusion of ontologies
+  - descriptor calculation directly from core and coating chemistries
+
+Webinterface
+============
+
+https://nano-lazar.in-silico.ch/predict
+
+Your recommendations?
+
+Source code
+===========
+
+https://github.com/opentox/nano-lazar