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Effective Multidrug Cocktails for Cancer

Total Cost €


EC-Contrib. €






Project "EMbRACe" data sheet

The following table provides information about the project.


Organization address
address: HERZL STREET 234
postcode: 7610001

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-11-01   to  2018-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE IL (REHOVOT) coordinator 150˙000.00


 Project objective

Cancer is a global epidemic that affects all ages and socio-economic groups. In turn, tremendous resources are being invested in prevention, diagnosis, and treatment of cancer. For instance, over 1,000 anticancer drugs are currently in various phases of development and pre-approval testing, more than the number for heart disease, stroke, and mental illness combined. Finding multi-drug combinations for cancer is an increasingly pressing therapeutic challenge. However, screening all possible drug combinations is an impossible task because the number of experiments grows exponentially with the number of different drugs and doses. Therefore, highly effective combinations of already approved drugs may likely exist that have never been tested before at the appropriate doses, due the astronomical number of wet lab tests required to find these combinations. Motivated by this challenge, we have developed a novel method for computing the effects of high order combinations of drugs on cancer cells and predicting the best drug for a given tumor based only on a very small number of experiments. In turn, the goals of our PoC project are to further validate the potential of our formula by means of numerous rigorous tests and to establish the business potential of our idea. If successful, this PoC project will pave the way to the development and adoption of highly personalized drug cocktails that are designed based only on a limited number of measurements performed on patient-derived tumor material.


year authors and title journal last update
List of publications.
2017 Anat Zimmer, Avichai Tendler, Itay Katzir, Avi Mayo, Uri Alon
Prediction of drug cocktail effects when the number of measurements is limited
published pages: e2002518, ISSN: 1545-7885, DOI: 10.1371/journal.pbio.2002518
PLOS Biology 15/10 2019-06-13

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The information about "EMBRACE" are provided by the European Opendata Portal: CORDIS opendata.

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