Vincent Mallet
@MalletVincent
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Researcher in CBIO team at @mines_paris and @institut_curie. Passionate about protein and RNA structure representation learning with geometric deep learning !
Paris, France
Joined September 2024
Leveraging Protein Representations to Explore Uncharted Fold Spaces with Generative Models 1. This novel study introduces DiffTopo, a novel coarse-grained protein structure representation method that uses diffusion models to efficiently explore uncharted areas of the protein
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Our Ambient Protein Diffusion code is now available. We trained a structure generation model on AlphaFoldDB that produces designable long proteins. AlphaFoldDB contains proteins of varying quality. Our approach explicitly accounts for this during diffusion training.
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If you, like me, felt frustrated after reviewing 6 papers for @NeurIPSConf and thought "there must be a better way" then this post is for you. Link 👇
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A Comprehensive Benchmark for RNA 3D Structure-Function Modeling 1. This study introduces a comprehensive benchmarking suite for RNA structure-function modeling, addressing a significant gap in the field by providing datasets for various RNA-related tasks. 2. Seven RNA
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Our latest efforts in AI-driven RNA drug discovery (RNAmigos2) have been published in Nature Communications. Blessed to have worked with such a talented team: @MalletVincent, J. Waldispühl, JG Patiño, et al. Paper: https://t.co/OaaQWBdm1Z GitHub: https://t.co/9VTjTYjiek Powered
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Join my team! Please, tweet it. #AI #MachineLearningandAI #Artificialintelligence #MachineLearning #proteins #enzymes
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RNAmigos2: Fast and accurate structure-based RNA virtual screening with semi-supervised graph learning and large-scale docking data 1. RNAmigos2 changes RNA-targeted drug discovery with a machine-learning pipeline that outpaces traditional docking by running over 10,000 times
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Do you want to work at the interface of structural biology and #AI? We are #hiring Come to Paris for a @CNRS postdoc at @institutpasteur funded by @ERC_Research and co-supervised by @malletvincent Please RT!! #deeplearning #compbio More info here: https://t.co/7oq9GgJjIk
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AtomSurf: Surface Representation for Learning on Protein Structures 1/ AtomSurf introduces a novel surface representation approach for protein structure learning, significantly advancing previous methodologies by integrating surface and graph-based encoders for enhanced
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Do you want to work at the interface of structural biology and #AI? We are #hiring Come to Paris for a @CNRS postdoc at @institutpasteur funded by @ERC_Research and co-supervised by @malletvincent Please RT!! #deeplearning #compbio More info here: https://t.co/7oq9GgJjIk
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