Predicting odorant-receptor activation with protein language and graph neural networks - Université Côte d'Azur
Conference Papers Year : 2022

Predicting odorant-receptor activation with protein language and graph neural networks

Matej Hladiš
  • Function : Author
Institut de Chimie de Nice
Sébastien Fiorucci
Institut de Chimie de Nice
CV
Maxence Lalis
  • Function : Author
Institut de Chimie de Nice
Jérémie Topin
  • Function : Author
  • PersonId : 1081477
Institut de Chimie de Nice

Domains

Machine Learning [stat.ML] Cheminformatics Theoretical and/or physical chemistry Neurons and Cognition [q-bio.NC]

Sébastien FIORUCCI  : Connect in order to contact the contributor

https://univ-cotedazur.hal.science/hal-03908209

Submitted on : Tuesday, December 20, 2022-2:43:11 PM

Last modification on : Thursday, April 11, 2024-1:08:14 PM

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Dates and versions

hal-03908209 , version 1 (20-12-2022)

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  • HAL Id : hal-03908209 , version 1

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Matej Hladiš, Sébastien Fiorucci, Maxence Lalis, Jérémie Topin. Predicting odorant-receptor activation with protein language and graph neural networks. SophIA summit, Nov 2022, Sophia Antipolis, France. ⟨hal-03908209⟩

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