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Proteins|November 7, 2019
High-accuracy protein structures by combining machine-learning with physics-based refinementLim Heo, Michael FeigProceedings of the National Academy of Sciences of the United States of America|December 12, 2018
Experimental accuracy in protein structure refinement via molecular dynamics simulationsLim Heo, Michael FeigBiorxiv : the Preprint Server for Biology|June 9, 2020
Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based RefinementLim Heo, Michael FeigStructure (London, England : 1993)|November 24, 2023
One bead per residue can describe all-atom protein structuresLim Heo, Michael FeigProteins|May 5, 2022
Multi-state modeling of G-protein coupled receptors at experimental accuracyLim Heo, Michael FeigBioinformatics (Oxford, England)|November 11, 2017
PREFMD: a web server for protein structure refinement via molecular dynamics simulationsLim Heo, Michael FeigProteins|October 5, 2017
What makes it difficult to refine protein models further via molecular dynamics simulations?Lim Heo, Michael FeigProteins|June 22, 2021
Physics-based protein structure refinement in the era of artificial intelligenceLim Heo, Giacomo Janson, Michael FeigCurrent Opinion in Structural Biology|February 26, 2022
Protein assembly and crowding simulationsLim Heo, Yuji Sugita, Michael FeigProteins|April 21, 2018
Structure refinement of membrane proteins via molecular dynamics simulationsBercem Dutagaci, Lim Heo, Michael FeigPageof 19