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D5.4 - First predictive nanoQSAR models integrated into NanoCommons KnowledgeBase

Sarimveis, Haralambos; Doganis, Philip; Karatzas, Pantelis; Varsou, Dimitra-Danai; Afantitis, Antreas

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Sarimveis, Haralambos</dc:creator>
  <dc:creator>Doganis, Philip</dc:creator>
  <dc:creator>Karatzas, Pantelis</dc:creator>
  <dc:creator>Varsou, Dimitra-Danai</dc:creator>
  <dc:creator>Afantitis, Antreas</dc:creator>
  <dc:description>This Deliverable report (D5.4) presents the services that have been developed and are available through the NanoCommons infrastructure for generating and validating nano-specific quantitative Structure-Activity Relationships (nanoQSAR) models and applying the models for predicting nanomaterial (NM) end-points for new materials that have not been tested experimentally. We offer two levels of modelling services: (i) Algorithm as a Service (AaaS) which provides the technical tools to model developers for creating nanoQSAR models and deploying them in the NanoCommons Knowledge Base, or (ii) Model as a Service (MaaS) which provides ready-to-use web implementations of nanoQSAR models, that can be used by the community to validate the models or calculate end-point predictions for other NMs as long as these are within the Domain of Applicability (DoA) of the model.</dc:description>
  <dc:subject>Nano QSAR</dc:subject>
  <dc:subject>Knowledge base</dc:subject>
  <dc:title>D5.4 - First predictive nanoQSAR models integrated into NanoCommons KnowledgeBase</dc:title>
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