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October 2025

New preprint: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation

3 months ago 2 weeks agoJean-Philip Piquemalnews

Check our latest preprint: Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation. C. Cattin, T. Plé, O. Adjoua, N. Gouraud, L. Lagardère, J.-P. Piquemal, 2025,...

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Targeting RNA with small molecules using state-of-the-art methods provides highly predictive affinities of riboswitch inhibitors

3 months ago 3 months agoJean-Philip Piquemalnews

Check our new paper published in Communications Biology: Targeting RNA with Small Molecules using State-of-the-Art Methods Provides Highly Predictive Affinities of Riboswitch Inhibitors. N. Ansari, C. Liu, F. Hédin, J....

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Recent Posts

  • FeNNix-Bio1 highlighted in GENCI’s Grand Challenges report 2025
  • Release of the FeNNixBio1 foundation machine learning model for drug design
  • New preprint: Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer
  • New preprint: An Optimal Framework for Constructing Lie-Algebra Generator Pools: Application to Variational Quantum Eigensolvers for Chemistry
  • César Feniou’s PhD defense (december 11th 2025)

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    Jean-Philip Piquemal - Sorbonne Université, Laboratoire de Chimie Théorique, UMR 7616 CNRS, CC137, 4 Place Jussieu, Tour 12-13, 4ème étage, 75252 Paris Cedex 05, France. E-mail: jean-philip.piquemal at sorbonne-universite.fr Tel : (+33) 1.44.27.25.04