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diff --git a/test/model-nanoparticle.rb b/test/model-nanoparticle.rb
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+++ b/test/model-nanoparticle.rb
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+require_relative "setup.rb"
+
+class NanoparticleModelTest  < MiniTest::Test
+  include OpenTox::Validation
+
+  def setup
+    @training_dataset = Dataset.where(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles").first
+    @prediction_feature = @training_dataset.features.select{|f| f["name"] == 'log2(Net cell association)'}.first
+  end
+
+  def test_nanoparticle_model
+    assert true, @prediction_feature.measured
+    model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature
+    refute_empty model.dependent_variables
+    refute_empty model.descriptor_ids
+    refute_empty model.independent_variables
+    assert_equal "Algorithm::Caret.rf", model.algorithms[:prediction][:method]
+    assert_equal "Algorithm::Similarity.weighted_cosine", model.algorithms[:similarity][:method]
+    nanoparticle = @training_dataset.nanoparticles[-34]
+    assert_includes nanoparticle.dataset_ids, @training_dataset.id
+    prediction = model.predict nanoparticle
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    prediction = model.predict @training_dataset.substances[14]
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    model.delete
+  end
+
+  def test_nanoparticle_fingerprint_model
+    assert true, @prediction_feature.measured
+    algorithms = {
+      :descriptors => {
+        :method => "fingerprint",
+        :type => "MP2D",
+      },
+      :similarity => {
+        :method => "Algorithm::Similarity.tanimoto",
+        :min => 0.1
+      },
+      :feature_selection => nil
+    }
+    model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature, algorithms: algorithms
+    refute_empty model.dependent_variables
+    refute_empty model.descriptor_ids
+    refute_empty model.independent_variables
+    assert_equal "Algorithm::Caret.rf", model.algorithms[:prediction][:method]
+    assert_equal "Algorithm::Similarity.tanimoto", model.algorithms[:similarity][:method]
+    assert_nil model.algorithms[:descriptors][:categories]
+    nanoparticle = @training_dataset.nanoparticles[-34]
+    assert_includes nanoparticle.dataset_ids, @training_dataset.id
+    prediction = model.predict nanoparticle
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    prediction = model.predict @training_dataset.substances[14]
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    model.delete
+  end
+
+  def test_nanoparticle_fingerprint_model_with_feature_selection
+    assert true, @prediction_feature.measured
+    algorithms = {
+      :descriptors => {
+        :method => "fingerprint",
+        :type => "MP2D",
+      },
+      :similarity => {
+        :method => "Algorithm::Similarity.tanimoto",
+        :min => 0.1
+      },
+    }
+    model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature, algorithms: algorithms
+    refute_empty model.algorithms[:feature_selection]
+    refute_empty model.dependent_variables
+    refute_empty model.descriptor_ids
+    refute_empty model.independent_variables
+    assert_equal "Algorithm::Caret.rf", model.algorithms[:prediction][:method]
+    assert_equal "Algorithm::Similarity.tanimoto", model.algorithms[:similarity][:method]
+    nanoparticle = @training_dataset.nanoparticles[-34]
+    assert_includes nanoparticle.dataset_ids, @training_dataset.id
+    prediction = model.predict nanoparticle
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    prediction = model.predict @training_dataset.substances[14]
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    model.delete
+  end
+
+  def test_nanoparticle_calculated_properties_model
+    skip "Nanoparticle calculate_properties similarity not yet implemented"
+    assert true, @prediction_feature.measured
+    algorithms = {
+      :descriptors => {
+        :method => "calculate_properties",
+        :features => PhysChem.openbabel_descriptors,
+      },
+      :similarity => {
+        :method => "Algorithm::Similarity.weighted_cosine",
+        :min => 0.5
+      },
+      :prediction => {
+        :method => "Algorithm::Regression.weighted_average",
+      },
+    }
+    model = Model::Lazar.create training_dataset: @training_dataset, prediction_feature: @prediction_feature, algorithms: algorithms
+    refute_empty model.dependent_variables
+    refute_empty model.descriptor_ids
+    refute_empty model.independent_variables
+    assert_equal "Algorithm::Caret.rf", model.algorithms[:prediction][:method]
+    assert_equal "Algorithm::Similarity.weighted", model.algorithms[:similarity][:method]
+    nanoparticle = @training_dataset.nanoparticles[-34]
+    assert_includes nanoparticle.dataset_ids, @training_dataset.id
+    prediction = model.predict nanoparticle
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    prediction = model.predict @training_dataset.substances[14]
+    refute_nil prediction[:value]
+    assert_includes prediction[:prediction_interval][0]..prediction[:prediction_interval][1], prediction[:measurements].median, "This assertion assures that measured values are within the prediction interval. It may fail in 5% of the predictions."
+    model.delete
+  end
+
+  def test_import_ld
+    skip # Ambit JSON-LD export defunct
+    dataset_ids = Import::Enanomapper.import_ld
+  end
+end