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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

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.

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