DOGMATRON | Artificial Translation with Dynamic Foldamers: Relaying Encoded Messages into Chemical Function

Summary
We propose to apply the power of synthetic chemistry to a new challenge in synthetic biomimicry: the translation of encoded information into molecular function. We propose to design and build switchable synthetic molecules that are capable of communicating and processing information. This ambitious aim will be achieved through new classes of extended dynamic molecules that respond to their environment by changing shape, principally by invertase polarity/directionality. They will receive, communicate, amplify, transmit, and process information encoded in their molecular conformation and orientation. New analystic methods will be developed to explore their kinetics and thermodynamics. Characterized by a high level of intramolecular structural organization, they will participate in strong, selective mutual interactions, allowing them to process information through intramolecular and intermolecular interactions in simple and complex mixtures, both solution and in the membrane phase. These chemical systems will be able to extract information from their environment (the presence of a specific metal or organic molecule, a genetically encoded message, pH, or irradiation at a specific wavelength) and process it into chemical function. Life takes information in the form of bond polarity encoded in base pairs and translates it into biochemical function in the form of protein structure, and our synthetic structures will likewise translate molecular polarity into function by using new classes of ‘promiscuous’ Watson-Crick-like base-pairs, able to switch between alternative hydrogen-bond polarities. Applications for these synthetic communication systems will ultimately see them embedded into cell membranes, allowing the selective control of function by communicating into the interior of both artificial vesicles and living cells.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/883786
Start date: 01-10-2020
End date: 30-09-2026
Total budget - Public funding: 2 499 805,00 Euro - 2 499 805,00 Euro
Cordis data

Original description

We propose to apply the power of synthetic chemistry to a new challenge in synthetic biomimicry: the translation of encoded information into molecular function. We propose to design and build switchable synthetic molecules that are capable of communicating and processing information. This ambitious aim will be achieved through new classes of extended dynamic molecules that respond to their environment by changing shape, principally by invertase polarity/directionality. They will receive, communicate, amplify, transmit, and process information encoded in their molecular conformation and orientation. New analystic methods will be developed to explore their kinetics and thermodynamics. Characterized by a high level of intramolecular structural organization, they will participate in strong, selective mutual interactions, allowing them to process information through intramolecular and intermolecular interactions in simple and complex mixtures, both solution and in the membrane phase. These chemical systems will be able to extract information from their environment (the presence of a specific metal or organic molecule, a genetically encoded message, pH, or irradiation at a specific wavelength) and process it into chemical function. Life takes information in the form of bond polarity encoded in base pairs and translates it into biochemical function in the form of protein structure, and our synthetic structures will likewise translate molecular polarity into function by using new classes of ‘promiscuous’ Watson-Crick-like base-pairs, able to switch between alternative hydrogen-bond polarities. Applications for these synthetic communication systems will ultimately see them embedded into cell membranes, allowing the selective control of function by communicating into the interior of both artificial vesicles and living cells.

Status

SIGNED

Call topic

ERC-2019-ADG

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2018
ERC-2019-ADG