47 citations · 116 across the 3 of their papers we have counts for
3 papers
Scalable Hybrid Deep Neural Networks/Polarizable Potentials Biomolecular Simulations including long-range effects
Théo Jaffrelot Inizan, Thomas Plé, Olivier Adjoua +5
Deep-HP is a scalable extension of the \TinkerHP\ multi-GPUs molecular dynamics (MD) package enabling the use of Pytorch/TensorFlow Deep Neural Networks (DNNs) models. Deep-HP incr…
Accurate Deep Learning-aided Density-free Strategy for Many-Body Dispersion-corrected Density Functional Theory
Pier Paolo Poier, Théo Jaffrelot Inizan, Olivier Adjoua +2
Using a Deep Neuronal Network model (DNN) trained on the large ANI-1 data set of small organic molecules, we propose a transferable density-free many-body dispersion model (DNN-MBD…
Computationally driven discovery of SARS-CoV-2 Mpro inhibitors: from design to experimental validation
L. El Khoury, Z. Jing, A. Cuzzolin +32
We report a fast-track computationally-driven discovery of new SARS-CoV2 Main Protease (M) inhibitors whose potency range from mM for initial non-covalent ligands to sub-$μ…