List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
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Updated
Apr 4, 2026
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
🌟 [NeurIPS '25 Spotlight] Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond basic error metrics https://openreview.net/forum?id=SAT0KPA5UO
Batched optimisation algorithms for neural network potential driven molecular dynamics.
Interface enabling use of ANI-style, and other NN-IPs in the Amber molecular dynamics software suite. Works with both Amber engines, sander and pmemd.
Perform stability tests for Neural Network Potentials
AI pipeline for SMILES → 3D molecular structure generation and optimization · RDKit · ANI · genetic algorithms · in-browser 3D visualization
Physics bachelor's thesis project focused on testing the physical adequacy and physical foundations of MLIPs in the context of molecular simulations.
Descriptor value generator for Behler-Parrinello type of neural networks
Active learning; Query by committee; Ensemble averaging; Committee machines; Neural Network Potentials
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