The target of the work is to explore in silico methodologies to predict protein toxicity, and to identify candidate approaches to be implemented as tools supporting food/feed risk assessment. The implementation of the identified methodology is not part of this call. In silico methodologies to consider can span from ‘traditional’ sequence similarity analysis to artificial intelligence (e.g. machine learning, deep learning). Approaches should search for structural and functional homology of the protein of interest to toxic proteins; and/or for the presence in the protein itself of ‘toxic molecular signatures’, i.e. structural/functional properties relevant in the molecular initiating events leading to toxicity. The identified methodologies should allow to predict the potential toxicity of a protein of interest, and to infer the elicited type of toxicity, the toxicity mechanisms and the potential target tissue/s. A proposal for defining threshold criteria should be identified.

Extended TitleDevelopment of in Silico Methodologies to Predict the Toxicity of Proteins in Food and Feed Risk Assessment
Extended Description

Precise description of the services will be published in the tender specifications of the open call for tenders. All the information published in this prior information notice is to be considered an estimate subject to possible revision.

Publication Date2021-05-18
CountryItaly
Procurement StatusFuture
TypeNot applicable
Contract TypeServices
Award CriteriaNot applicable
Value200000.00
OrganisationEuropean Food Safety Authority (EFSA)
AddressVia Carlo Magno 1A
TownParma
Postal Code43126
Class Code73000000
Class DescriptionResearch and development services and related consultancy services
SourceOffice for Official Publications of the European Communities - Tenders electronic daily (Ted)

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