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Dominic Lauzon
Has grant
Research Interests
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Recent Grants
Grant: Close
Développement de nanomachines d'ADN dynamiques basées sur des assemblages moléculaires multi-composantes.
Open Date: 2021-04-01
Close Date: 2024-03-31
Grant: Close
Règles thermodynamiques et cinétiques pour l'assemblage et la régulation de nanomachines polymoléculaires
Open Date: 2018-04-01
Close Date: 2021-03-31
Grant: Close
Développement de biocapteurs électrochimiques portatifs à base d'acide désoxyribonucléique pour la détection rapide de marqueurs de maladies.
Open Date: 2016-04-01
Close Date: 2017-03-31
Grant: Close
Développement de biocapteurs électrochimiques portatifs à base d'ADN pour la détection rapide de marqueurs de maladies ou de contaminants environnementaux.
Open Date: 2016-04-01
Close Date: 2018-03-31
Grant: Close
Étude de l'efflux lipidique causé par des protéines de liquide séminal animal
Open Date: 2015-04-01
Close Date: 2016-03-31
Articles (9)
Year:
2025
Year:
2025
Most functional nanosystems in living organisms are constructed using multimeric assemblies that provide multiple advantages over their monomeric counterparts such as cooperative or anti‐cooperative responses, integration of multiple signals and self‐regulation. Inspired by these natural nanosystems, chemists have been synthesizing self‐assembled supramolecular systems over the last 50 years with increasing complexity with applications ranging from biosensing, drug delivery, synthetic biology, and system chemistry. Although many advances have been made concerning the design principles of novel molecular architectures and chemistries, little is still known, however, about how to program their dynamic of assembly so that they can assemble at the required concentration and with the right sensitivity. Here, we used synthetic DNA assemblies and double‐mutant cycle analysis to explore the thermodynamic basis to program the cooperativity of molecular assemblies. The results presented here exemplify how programmable molecular assemblies can be efficiently built by fusing interacting domains and optimizing their compaction. They may also provide the rational basis for understanding the thermodynamic and mechanistic principles driving the evolution of multimeric biological complexes.
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Collaborators (2)
Jeanne Leblond Chain
Associate Researcher
INSERM
Alexis Vallée‐Bélisle
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