Victoire Cachoux

ORCID: 0000-0003-1627-1713
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About
Contact & Profiles
Research Areas
  • Cellular Mechanics and Interactions
  • Machine Learning in Materials Science
  • 3D Printing in Biomedical Research
  • Computational Drug Discovery Methods
  • Cancer Cells and Metastasis
  • Fibroblast Growth Factor Research
  • Science, Research, and Medicine
  • Microtubule and mitosis dynamics
  • Neurobiology and Insect Physiology Research
  • Hippo pathway signaling and YAP/TAZ
  • Physiological and biochemical adaptations
  • Biocrusts and Microbial Ecology

Inhibikase Therapeutics (United States)
2024-2025

Génétique et biologie du développement
2023-2024

Laboratoire de Biologie du Développement
2024

Inserm
2023

Institut Curie
2020-2023

Université Paris Sciences et Lettres
2023

Sorbonne Université
2023

Centre National de la Recherche Scientifique
2023

University of Cambridge
2019-2020

The integration of artificial intelligence (AI) and machine learning (ML) in drug design has the potential to transform small molecule discovery pharmaceutical industry, enhancing efficiency productivity process. However, manual segmented nature Design, Make, Test, Analyze (DMTA) cycle is a major obstacle any significant progress being made. synthetically tractable molecules that meet project specific criteria requires comprehensive system capable accounting simultaneously for all synthetic...

10.26434/chemrxiv-2024-0z7g6-v2 preprint EN cc-by-nc-nd 2025-01-29

Geometry is a fundamental attribute of biological systems, and it underlies cell tissue dynamics. Cell geometry controls cell-cycle progression mitosis thus modulates development homeostasis. In sharp contrast despite the extensive characterization genetic mechanisms caspase activation, we know little about whether how apoptosis commitment in developing tissues. Here, combined multiscale time-lapse microscopy Drosophila epithelium, quantitative behaviors, mechanical perturbations to...

10.1016/j.cub.2023.09.049 article EN cc-by-nc Current Biology 2023-10-11

Applying mechanical forces to tissues helps understand morphogenesis and homeostasis. Additionally, recording the dynamics of living under constraints is needed explore tissue biomechanics. Here, we present a protocol 3D-print StretchCo device use it apply uniaxial stress on Drosophila pupal dorsal thorax epithelium. We describe steps for 3D printing, polydimethylsiloxane (PDMS) strip cutting, glue preparation. detail procedures PDMS mounting, compaction, live imaging upon force application....

10.1016/j.xpro.2024.102851 article EN cc-by-nc-nd STAR Protocols 2024-02-12

The integration of artificial intelligence (AI) and machine learning (ML) in drug design has the potential to transform small molecule discovery pharmaceutical industry, enhancing efficiency productivity process. However, manual segmented nature Design, Make, Test, Analyze (DMTA) cycle is a major obstacle any significant progress being made. synthetically tractable molecules that meet project specific criteria requires comprehensive system capable accounting simultaneously for all synthetic...

10.26434/chemrxiv-2024-0z7g6 preprint EN cc-by-nc-nd 2024-12-18

The directed migration of cell collectives is essential in various physiological processes, such as epiboly, intestinal epithelial turnover, and convergent extension during morphogenesis well pathological events like wound healing cancer metastasis 1,2 . Collective leads to the emergence coordinated movements over multiple cells. Our current understanding emphasizes that these are mainly driven by large-scale transmission signals through adherens junctions 3,4 In this study, we show...

10.1101/2019.12.16.875567 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-12-16

This paper report presents the interdisciplinary science showcased at Young Scientists Retreat 2019. The retreat was jointly organized by young researchers from Instituto Gulbenkian de Ciência (Portugal) and Institut Curie (France) took place in Pedrógão Pequeno, a small village central region of Portugal September Three keynote speakers were invited to present their work, Alfonso Martinez-Arias, Biola Javierre Martínez, Sara Magalhães....

10.20944/preprints202001.0099.v1 preprint EN 2020-01-11
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