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Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

, , , , and . PLoS Computational Biology, (2016)

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A Novel Algorithm for Non-Bonded-List Updating in Molecular Simulations., and . Journal of Computational Biology, 13 (5): 1041-1048 (2006)Sample-based Models of Protein Structural Transitions., , , and . BCB, page 128-137. ACM, (2016)Statistical Analysis of Computed Energy Landscapes to Understand Dysfunction in Pathogenic Protein Variants., , , and . BCB, page 679-684. ACM, (2017)Attenuating dependence on structural data in computing protein energy landscapes., , , and . BMC Bioinformatics, 20-S (11): 280:1-280:10 (2019)Sample-Based Models of Protein Energy Landscapes and Slow Structural Rearrangements., , , , and . Journal of Computational Biology, 25 (1): 33-50 (2018)Structure-Guided Protein Transition Modeling with a Probabilistic Roadmap Algorithm., , and . IEEE/ACM Trans. Comput. Biology Bioinform., 15 (6): 1783-1796 (2018)Computing transition paths in multiple-basin proteins with a probabilistic roadmap algorithm guided by structure data., , and . BIBM, page 35-42. IEEE Computer Society, (2015)Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics., , , , and . PLoS Computational Biology, (2016)Reconstructing and mining protein energy landscape to understand disease., , , , and . BIBM, page 22-27. IEEE Computer Society, (2017)