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DTSTART;TZID=Europe/Paris:20260707T110000
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DTSTAMP:20260702T132320Z
CREATED:20260702T132320Z
LAST-MODIFIED:20260702T132320Z
UID:10000213-1783422000-1783425600@sfp-alpes.fr
SUMMARY:Jérémie TOPIN (Department of Chemistry\, Université Côte d'Azur\, Nice)
DESCRIPTION:The molecular language of smell : reading odors through receptors\nRésumé : \nThis morning\, you may have enjoyed a cup of coffee or tea and felt that its aroma had stimulated your sense of smell. The volatile molecules in your favourite beverage are recognized by the olfactory receptors (ORs) expressed in your olfactory epithelium. But among your 400 ORs\, which ones were activated by these molecules ?\nTo answer this question\, and more generally to determine the molecular recognition spectrum of ORs\, we design the Molecule to Olfactory Receptor M2OR database\n(https://m2or.chemsensim.fr/)\, which brings together 75\,050 bioassay experiments for 51\,683 distinct OR-molecule pairs.[1] We further combine protein language[2] with graph neural networks to predict OR activation\, and propose a tailored architecture incorporating inductive biases from the protein-molecule interaction.[3] This model outperforms state-of-the-art drug- target interaction prediction models as well as standard GNN baselines. Notably\, our predictions are in agreement with combinatorial coding theory in olfaction. \nReferences\n[1] Lalis\, M.\, Hladiš\, M.\, Khalil\, S. A.\, Briand\, L.\, Fiorucci\, S.\, & Topin\, J\, 2024. M2OR: a database of olfactory receptor–odorant pairs for understanding the molecular mechanisms of olfaction. Nucleic Acids Research\, 52(D1)\, D1370-D1379.\n[2] Elnaggar\, A.\, Heinzinger\, M.\, Dallago\, C.\, Rehawi\, G.\, Wang\, Y.\, Jones\, L.\, … & Rost\, B. (2021). Prottrans: Toward understanding the language of life through self-supervised learning. IEEE transactions on pattern analysis and machine intelligence 2022\, 44(10)\, 7112-7127.\n[3] Hladiš\, M.\, Lalis\, M.\, Fiorucci\, S.\, & Topin\, J. Matching receptor to odorant with protein language and graph neural networks 2023. In The Eleventh International Conference on Learning Representations. \nContact : lucie.sancey@univ-grenoble-alpes.fr ou emmanuel.brun@univ-grenoble-alpes.fr
URL:https://sfp-alpes.fr/event/jeremie-topin-department-of-chemistry-universite-cote-dazur-nice/
LOCATION:IAB – Salle de séminaire\, IAB Site Santé - Allée des Alpes\, La Tronche\, 38700\, France
CATEGORIES:Séminaire
ORGANIZER;CN="IAB":MAILTO:appaixfl@univ-grenoble-alpes.fr
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DTSTART;TZID=Europe/Paris:20260707T140000
DTEND;TZID=Europe/Paris:20260707T150000
DTSTAMP:20260702T133156Z
CREATED:20260702T133156Z
LAST-MODIFIED:20260702T133156Z
UID:10000214-1783432800-1783436400@sfp-alpes.fr
SUMMARY:Axel ROUVILLER (Post-doctorant)
DESCRIPTION:Electromecanical characterization of Cu2O nanowire networks\nRésumé : \nOne of the main obstacles to the development of new electronic devices\, such as photovoltaic panels\, LEDs\, smart windows\, is the lack of p-type semiconductors combining both high electrical conductivity values and transparence in the visible range. Studies carried out at the LMGP laboratory have demonstrated the possibility of forming\, by aerosol-assisted chemical vapor deposition (AACVD)\, Cu2O/CuCrO2 nanocomposites in which Cu2O nanograins are contained in a CuCrO2 matrix. These p-type semiconductor nanostructures turned out to have promising optoelectronic properties\, with an average visible transmittance of 55% and an electrical resistivity of 0.05 Ω.cm [1]. The NANOCOMPOSITE project\, supported by the ANR\, aims to develop the elaboration of this type of nanostructure in a controlled manner\, by covering Cu2O nanowire networks\, synthesized by hydrothermal process\, with a thin layer of CuCrO2\, deposited by AACVD. The work in this presentation is part of this project and concerns the development by Felhing reaction method of Cu2O nanowire networks of different densities on silicon substrates. Once these networks were characterized\, they were deposited on flexible kapton substrates\, which allowed for electrical measurements to be carried out under mechanical stress\, using a traction plate at the SIMaP laboratory. \nShort Bio/CV \nI completed my thesis at the university of Caen (France) in the CIMAP laboratory. During my PhD\, I worked on the growth and characterization of both SrVO3 and Sr2V2O7 thin films\, using reactive sputtering deposition technique\, for opto-electronics applications. Since February 2026\, I joined the NANOCOMPOSITE ANR project\, coordinated by Jean-Luc Deschanvres\, as a Post-Doc. My work on this project consists\, firstly\, in the elaboration of Cu2O nanowire networks on flexible substrates by hydrothermal growth process at LMGP laboratory. Once these depositions have been performed\, I carry out electromecanical characterizations of these nanowires at SIMaP laboratory in order to evaluate their compatibility and adequateness as flexible P-type semiconductors. \nContact : deborah.verger@grenoble-inp.fr
URL:https://sfp-alpes.fr/event/axel-rouviller-post-doctorant/
LOCATION:LMGP – salle des séminaires\, Grenoble INP -Phelma 3 parvis Louis Néel\, Grenoble\, 38054\, France
CATEGORIES:Séminaire
ORGANIZER;CN="LMGP":MAILTO:deborah.verger@grenoble-inp.fr
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