Project deliverable Open Access
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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D5.4 - First predictive nanoQSAR models integrated into NanoCommons KnowledgeBase.pdf
md5:0a3ba85428a145e45de3b609d561803e |
6.8 MB | Download |
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| Views | 248 | 248 |
| Downloads | 213 | 213 |
| Data volume | 1.4 GB | 1.4 GB |
| Unique views | 233 | 233 |
| Unique downloads | 206 | 206 |
- Publication date:
- January 9, 2020
- DOI:
-
- Keyword(s):
- H2020 NanoCommons Nano QSAR Knowledge base
- Grants:
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European Commission:
- NanoCommons - The European Nanotechnology Community Informatics Platform: Bridging data and disciplinary gaps for industry and regulators (NanoCommons) (731032)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International