MITiC | Molecules Inhibiting Translation in Cancer cells

Summary
YB-1 is one of the major mRNA binding proteins and a master regulator of translation in cancer cells. It has been recently considered as a therapeutic target for the treatment of cancer and drug-resistant cancer. However, no small molecules with high affinity and specificity against YB-1 have been proposed so far, and the structural data essential to interrogate their relevance are missing. Understanding the function of translation regulation systems in order to design drug candidates is a very delicate procedure that requires a high level of accuracy and state-of-the-art techniques. Based on a promising preliminary finding of an active compound, we will focus in depth on studying the inhibition mechanism of YB-1 in order to help design new anti-cancer drugs able to overcome drug resistance. The research approach developed in this context aims to use in synergy advanced computational and experimental techniques while overcoming all limitations in a concerted way. This work is concerned with providing a sufficiently accurate computational model that is computationally efficient, specific experimental data and combining them with data mining techniques, for a molecular-level characterization of the inhibition dynamics and thermodynamics. This project is based on a multidisciplinary approach that requires knowledge of biology, biochemistry, physical chemistry, theoretical chemistry and bioinformatics in order to contribute to the medicine of the future.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/895024
Start date: 01-11-2020
End date: 31-10-2022
Total budget - Public funding: 184 707,84 Euro - 184 707,00 Euro
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Original description

YB-1 is one of the major mRNA binding proteins and a master regulator of translation in cancer cells. It has been recently considered as a therapeutic target for the treatment of cancer and drug-resistant cancer. However, no small molecules with high affinity and specificity against YB-1 have been proposed so far, and the structural data essential to interrogate their relevance are missing. Understanding the function of translation regulation systems in order to design drug candidates is a very delicate procedure that requires a high level of accuracy and state-of-the-art techniques. Based on a promising preliminary finding of an active compound, we will focus in depth on studying the inhibition mechanism of YB-1 in order to help design new anti-cancer drugs able to overcome drug resistance. The research approach developed in this context aims to use in synergy advanced computational and experimental techniques while overcoming all limitations in a concerted way. This work is concerned with providing a sufficiently accurate computational model that is computationally efficient, specific experimental data and combining them with data mining techniques, for a molecular-level characterization of the inhibition dynamics and thermodynamics. This project is based on a multidisciplinary approach that requires knowledge of biology, biochemistry, physical chemistry, theoretical chemistry and bioinformatics in order to contribute to the medicine of the future.

Status

TERMINATED

Call topic

MSCA-IF-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2019
MSCA-IF-2019