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Biomed Research International|February 7, 2017
Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density MapsDong Si, Jing HeStructure (London, England : 1993)|October 14, 2014
Tracing beta strands using StrandTwister from cryo-EM density maps at medium resolutionsDong Si, Jing HeAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Combining image processing and modeling to generate traces of beta-strands from cryo-EM density images of beta-barrelsDong Si, Jing HeBiopolymers|June 15, 2012
A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density mapsDong Si, Shuiwang Ji, Kamal Al Nasr, et al.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|May 18, 2018
Deep Convolutional Neural Networks for Detecting Secondary Structures in Protein Density Maps from Cryo-Electron MicroscopyRongjian Li, Dong Si, Tao Zeng, et al.BMC Structural Biology|February 26, 2014
Estimating loop length from CryoEM images at medium resolutionsAndrew McKnight, Dong Si, Kamal Al Nasr, et al.Journal of Bioinformatics and Computational Biology|July 20, 2012
Improved efficiency in cryo-EM secondary structure topology determination from inaccurate dataAbhishek Biswas, Dong Si, Kamal Al Nasr, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 17, 2017
Beta-Barrel Detection for Medium Resolution Cryo-Electron Microscopy Density Maps Using Genetic Algorithms and Ray TracingAlbert Ng, Dong SiBMC Bioinformatics|September 28, 2022
Neural representations of cryo-EM maps and a graph-based interpretationNathan Ranno, Dong SiComputational Biology and Chemistry|June 3, 2025
Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM mapsXin Ma, Dong SiPageof 368