BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20260616T045541Z UID:0daac7b4-3065-492b-8d89-1ed69a35d7ec DTSTART:20210518T130000Z DTEND:20210518T150000Z DESCRIPTION:On Tuesday\, 18th May 2021\, the NanoCommons team\, in a joint initiative with the NanoSafety Cluster\, will offer an online webinar on t he use of their Molecular Initiating Event (MIE) Prediction Tool accessibl e via the NanoCommons Knowledge Base (NC KB).\n\nIntroduction and Host: Ma rtin Himly\, PLUS and Chair of NanoSafety Cluster WG-A on Education\, Trai ning\, and Communication\n\nWebinar Speaker: Abhijit Dasgupta\, UCD\n\nPan el for Q+A session: Vadim Zhernovkov and Vladimir Lobaskin\, UCD\n\nToxici ty testing and regulation of advanced materials at the nanoscale i.e.\, na no safety\, is challenged by the growing number of nanomaterials. The exis ting animal-reliant toxicity testing tools are onerous in terms of time an d resources. There is a need for faster\, cheaper\, sensitive and effectiv e animal alternatives that are supported by mechanistic evidence. Moreover \, there is an urgency for developing alternative testing strategies. The Adverse Outcome Pathway (AOP)-based approaches provide pragmatic insights to promote the development of alternative testing strategies. MIE is the f irst step in an AOP and can be considered as a chemical interaction betwee n a chemical toxicant and a biological molecule. Key chemical characterist ics can be identified and used to model the chemistry of these MIEs. Predi cting actual MIEs without time-resolved data establishing the MIE is chall enging. Risk assessment requires information on the exposure conditions (e .g.\, route\, dose\, duration and frequency) needed to cause an AO.\n\nThe NanoCommons MIE gene set database (NanoCommons GS-MIE DB) captures:\n\n Gene signatures (GS) of MIEs by integrating knowledge from KEGG\, REACTO ME\, GO\, WikiPathways public databases\;\n\n Custom gene sets from pub lished data\;\n\n To date\, manual collection of 132 gene sets represen ting three different types of MIE actions:\n\n MIE1. Disruption of lung surfactant functionality\n\n MIE2. Lysosomal destabilization\n \n MIE3. Oxidation of cell membrane\n\nThe expected duration is 60 minutes with time for Q&\;A session in the end.\n\nTarget audience: Ben ch and computational scientists looking into automated ways to enrich the knowledge obtained from their datasets by predicting MIEs for AOP-based to xicity assessment.\n\nExpectation: Willing to learn new things and active participation in the interactive webinar.\n\nThe webinar will take place o n Tuesday\, May 18th\, from 15:00 till 16:00h CEST.\n\nFeel free to join a nd please do not forget to register here: https://attendee.gotowebinar.com /register/6523350125940482062\n\nYou can find more information about the w ebinar here.\n\nAfter registering\, you will receive a confirmation email containing information about joining the webinar.\n\nPlease\, be aware tha t some personal information may be collected for statistical purposes\, ho wever\, in a blinded and anonymous way. The workshop will be partially rec orded for educational purposes.\n\nYou will find updates with more informa tion about NanoCommons and training materials here.\n\nFeel free to redist ribute this information within your projects and networks. We are happy to have as many participants as possible and to help the community with the FAIRification of their data by offering an insight into in silico tools of fered by the NanoCommons Knowledge Base in an integrated and thus more str aightforward way.\n\nThe NanoCommons team will be happy to answer your que stions and to guide you in your requests! SUMMARY:Online MIE Prediction Tool Webinar URL;VALUE=URI:https://infrastructure.nanocommons.eu/events/50/online-mie-pr ediction-tool-webinar/ END:VEVENT END:VCALENDAR