| Presented by |
Georgia Tsiliki, NTUA(The National Technical University of Athens, Greece) |
29th October 2015, 4 PM (Central European Time) / 11 AM (US Eastern Time)
You can download slides by Georgia Tsiliki >> here <<
The eNanoMapper project is working towards developing a modular and extensible infrastructure for data sharing, data analysis, and building computational toxicology models for ENMs. A number of services are now available for calculating ENM-specific descriptors, developing nanoQSAR models and automated workflows for model selection or validation.
Along these lines, we present a methodology to incorporate biological information with omics data and specifically proteomics data originating from protein corona fingerprinting, which has been reported to efficiently predict biological responses such as cellular uptake, signalling, and toxicity.
Our findings suggest that there is scope for further enhancement of protein corona data with biological information to allow for different protein weights according to their biological plausibility.
License: CC-BY 4.0
More information:
Georgia Tsiliki gtsiliki@central.ntua.gr
Acknowledgements
eNanoMapper (Grant Agreement no. 604134) is a project supported by the European Commission through the Seventh Framework Programme (FP7).
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