Computational discovery and design of disease-beating nutrition

Project Information

Hyperfoods

Grant agreement ID: 899932

DOI

10.3030/899932

Project closed

EC signature date 30 March 2020

Start date 1 April 2020

End date 30 June 2022

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

No data

EU contribution

€ 150 000,00

Coordinated by

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Predicting anticancer hyperfoods with graph convolutional networks

Author(s): Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Michael Bronstein, Kirill Veselkov
Published in: Human Genomics, Issue 15, 2021, Page(s) 1, ISSN 1479-7364
Publisher: Springer
DOI: 10.1186/s40246-021-00333-4

"Network machine learning maps phytochemically rich ""Hyperfoods"" to fight COVID-19."

Author(s): Ivan Laponogov; Guadalupe Gonzalez; Madelen Shepherd; Ahad Qureshi; Dennis Veselkov; Georgia Charkoftaki; Vasilis Vasiliou; Jozef Youssef; Reza Mirnezami; Michael M. Bronstein; Michael M. Bronstein; Michael M. Bronstein; Kirill Veselkov; Kirill Veselkov
Published in: Human Genomics, Vol 15, Iss 1, Pp 1-11 (2021), Issue 15, 2021, ISSN 1479-7364
Publisher: Springer
DOI: 10.1186/s40246-020-00297-x