Services

NanoCommons Molecular Initiating Event (MIE) Prediction Tool and MIE-Gene Signaures Database

MIE pediction tool

Using published data from in vivo and in vitro experimental studies of nanomaterials toxicity and different signaling and functional databases, the NanoCommons Molecular Initiating Events (MIE) gene set database (NanoCommons GS-MIE DB) captures gene signatures (GS) of MIEs by integrating knowledge from KEGG, REACTOME, GO, WikiPathways public databases and custom gene sets from published data. To date, 132 gene sets representing three different types of MIE actions have been manually collected and via a user friendly interface can be used to calculate a prioritized list of MIEs with identified biological processes triggered by exposure to nanomaterials.


Category:
Data Visualisation & Predictive Toxicity
Type:
Modelling tool, Data warehouse
API Type:
SPARQL
Applicability domain:
Hazard assessment, Risk assessment, Bioinformatics, Nanoinformatics, Advanced materials, Safe by design
Topic:
Predictive modelling, Omics data analysis, Toxicology
Targeted industry:
Nanotechnology, Chemicals, Other consumer products
Targeted users:
Researchers, Students, Risk assessors, Data modellers
Access type:
Remote
Support contact:
Vladimir Lobaskin University College Dublin, School of Physics, Science Centre, Belfield, Dublin 4. Ireland. Phone: +353 1 716 2432 Email: vladimir.lobaskin@ucd.ie
References and training materials:

Link to D6.7 once finalised. Training materials in preparation also....


Provided by:
University College Dublin
Contact:
University College Dublin, School of Physics, Science Centre, Belfield, Dublin 4. Ireland. Phone: +353 1 716 2432 Email: vladimir.lobaskin@ucd.ie
Licence:
Attribution 4.0 International (CC BY 4.0)
Login required:
Yes
Implementation status:
Available as web service
Technology readiness level:
TRL 5 – technology validated in relevant environment (industrially relevant environment in the case of key enabling technologies)

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