Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence-based methods
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Updated: May 28, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Akashnathan Aranganathan1, Xinyu Gu2, Dedi Wang3
1Biophysics Program, University of Maryland, College Park, 20742, MD, USA; Institute of Physical Science and Technology, University of Maryland, College Park, 20742, MD, USA.
Abstract:
This review highlights recent advances in AI-driven methods for generating Boltzmann-weighted structural ensembles, which are crucial for understanding biomolecular dynamics and drug discovery. With the rise of deep learning models such as AlphaFold2, there has been a shift toward more accurate and efficient sampling of structural ensembles. The review discusses the integration of AI with traditional molecular dynamics techniques as well as experiments, the challenges of conformational sampling, and future directions for AI-driven research in structural biology, particularly in drug discovery and protein dynamics.
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