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Updated: Oct 19, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
Machine-learning methods for ligand-protein molecular docking
Kevin Crampon1, Alexis Giorkallos2, Myrtille Deldossi2
1Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France; Université de Reims Champagne Ardenne, LICIIS - LRC CEA DIGIT, 51100 Reims, France; Atos SE, Center of Excellence in Advanced Computing, 38130 Echirolles, France.
Abstract:
Artificial intelligence (AI) is often presented as a new Industrial Revolution. Many domains use AI, including molecular simulation for drug discovery. In this review, we provide an overview of ligand-protein molecular docking and how machine learning (ML), especially deep learning (DL), a subset of ML, is transforming the field by tackling the associated challenges.
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