publication . Report . Other literature type . 2020

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

Sarimveis, Haralambos; Doganis, Philip; Karatzas, Pantelis; Varsou, Dimitra-Danai; Afantitis, Antreas;
Open Access English
  • Published: 09 Jan 2020
Abstract
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...
Subjects
free text keywords: H2020, NanoCommons, Nano QSAR, Knowledge base
Funded by
EC| NanoCommons
Project
NanoCommons
The European Nanotechnology Community Informatics Platform: Bridging data and disciplinary gaps for industry and regulators (NanoCommons)
  • Funder: European Commission (EC)
  • Project Code: 731032
  • Funding stream: H2020 | RIA
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ZENODO
Report . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Zenodo
Other literature type . 2020
Provider: Datacite
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