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The Journal of Physical Chemistry. B|May 11, 2013
Visualizing basins of attraction for different minimization algorithmsDaniel Asenjo, Jacob D Stevenson, David J Wales, et al.Accounts of Chemical Research|February 8, 2021
Fuzziness and Frustration in the Energy Landscape of Protein Folding, Function, and AssemblyStefano Gianni, María Inés Freiberger, Per Jemth, et al.Proceedings of the National Academy of Sciences of the United States of America|February 10, 2016
Topological constraints and modular structure in the folding and functional motions of GlpG, an intramembrane proteaseNicholas P Schafer, Ha H Truong, Daniel E Otzen, et al.Proceedings of the National Academy of Sciences of the United States of America|November 1, 2017
De novo prediction of human chromosome structures: Epigenetic marking patterns encode genome architectureMichele Di Pierro, Ryan R Cheng, Erez Lieberman Aiden, et al.The Journal of Physical Chemistry. B|May 2, 2012
AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasingAram Davtyan, Nicholas P Schafer, Weihua Zheng, et al.Proceedings of the National Academy of Sciences of the United States of America|February 16, 2019
Local frustration around enzyme active sitesMaria I Freiberger, A Brenda Guzovsky, Peter G Wolynes, et al.Journal of the American Chemical Society|August 5, 2025
Intersegment Transfer and the Dynamical Architecture of Fis Protein-DNA Multimer ComplexesXun Chen, Shikai Jin, Cheng-Han Liu, et al.Journal of Chemical Theory and Computation|September 22, 2018
Template-Guided Protein Structure Prediction and Refinement Using Optimized Folding Landscape Force FieldsMingchen Chen, Xingcheng Lin, Wei Lu, et al.The Journal of Chemical Physics|April 3, 2016
Energy landscapes for a machine learning application to series dataAndrew J Ballard, Jacob D Stevenson, Ritankar Das, et al.Proceedings of the National Academy of Sciences of the United States of America|August 20, 2024
Predicting protein conformational motions using energetic frustration analysis and AlphaFold2Xingyue Guan, Qian-Yuan Tang, Weitong Ren, et al.Pageof 23