Julie C. Mitchell
Affiliations: | University of Wisconsin, Madison, Madison, WI |
Area:
Biochemistry, Computer Science, OncologyGoogle:
"Julie Mitchell"Mean distance: (not calculated yet)
Children
Sign in to add traineeSteven J. Darnell | grad student | 2008 | UW Madison |
Omar N. Demerdash | grad student | 2010 | UW Madison |
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Publications
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Hameedi MA, T Prates E, Garvin MR, et al. (2022) Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro. Nature Communications. 13: 5285 |
Davidson R, Woods J, Effler TC, et al. (2022) OpenMDlr: Parallel, open-source tools for general protein structure modeling and refinement from pairwise distances. Bioinformatics (Oxford, England) |
Hameedi MA, Prates ET, Garvin MR, et al. (2021) Structural and functional characterization of NEMO cleavage by SARS-CoV-2 3CLpro. Biorxiv : the Preprint Server For Biology |
Mishra SK, Cooper CJ, Parks JM, et al. (2021) Hotspot Coevolution Is a Key Identifier of Near-Native Protein Complexes. The Journal of Physical Chemistry. B |
Zhu X, Liu L, He J, et al. (2020) iPNHOT: a knowledge-based approach for identifying protein-nucleic acid interaction hot spots. Bmc Bioinformatics. 21: 289 |
Aranha MP, Spooner C, Demerdash O, et al. (2020) Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature sets. Biochimica Et Biophysica Acta. General Subjects. 129535 |
Bortnov V, Tonelli M, Lee W, et al. (2019) Solution structure of human myeloid-derived growth factor suggests a conserved function in the endoplasmic reticulum. Nature Communications. 10: 5612 |
Demerdash O, Shrestha UR, Petridis L, et al. (2019) Using Small-Angle Scattering Data and Parametric Machine Learning to Optimize Force Field Parameters for Intrinsically Disordered Proteins. Frontiers in Molecular Biosciences. 6: 64 |
Liu L, Xiong Y, Gao H, et al. (2018) dbAMEPNI: a database of alanine mutagenic effects for protein-nucleic acid interactions. Database : the Journal of Biological Databases and Curation. 2018 |
Sukumar S, Zhu X, Ericksen SS, et al. (2016) DBSI Server: DNA Binding Site Identifier. Bioinformatics (Oxford, England) |