Rezultati - Elaine C. Meng

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  1. 1
    Tools for integrated sequence-structure analysis with UCSF Chimera

    Tools for integrated sequence-structure analysis with UCSF Chimera od Elaine C. Meng, Eric F. Pettersen, Gregory S. Couch, Conrad C. Huang, Thomas E. Ferrin

    Izdano 2006
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  2. 2
    Evolutionary Trace of G Protein-coupled Receptors Reveals Clusters of Residues That Determine Global and Class-specific Functions

    Evolutionary Trace of G Protein-coupled Receptors Reveals Clusters of Residues That Determine Global and Class-specific Functions od Srinivasan Madabushi, Alecia K. Gross, Anne Philippi, Elaine C. Meng, Theodore G. Wensel, Olivier Lichtarge

    Izdano 2004
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  3. 3
    UCSF Chimera—A visualization system for exploratory research and analysis

    UCSF Chimera—A visualization system for exploratory research and analysis od Eric F. Pettersen, Thomas D. Goddard, Conrad C. Huang, Gregory S. Couch, Daniel M. Greenblatt, Elaine C. Meng, Thomas E. Ferrin

    Izdano 2004
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  4. 4
    <scp>UCSF ChimeraX</scp>: Structure visualization for researchers, educators, and developers

    <scp>UCSF ChimeraX</scp>: Structure visualization for researchers, educators, and developers od Eric F. Pettersen, Thomas D. Goddard, Conrad C. Huang, Elaine C. Meng, Gregory S. Couch, Tristan I. Croll, John H. Morris, Thomas E. Ferrin

    Izdano 2020
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  5. 5
    Apolipoprotein (apo) E4 enhances amyloid β peptide production in cultured neuronal cells: ApoE structure as a potential therapeutic target

    Apolipoprotein (apo) E4 enhances amyloid β peptide production in cultured neuronal cells: ApoE structure as a potential therapeutic target od Shiming Ye, Yadong Huang, Karin Müllendorff, Liming Dong, Gretchen Giedt, Elaine C. Meng, Fred E. Cohen, Irwin D. Kuntz, Karl H. Weisgraber, Robert W. Mahley

    Izdano 2005
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  6. 6
    Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data

    Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data od J. Javier Díaz-Mejía, Elaine C. Meng, Alexander R. Pico, Sonya A. MacParland, Troy Ketela, Trevor J. Pugh, Gary D. Bader, John H. Morris

    Izdano 2019
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  7. 7
    Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data

    Evaluation of methods to assign cell type labels to cell clusters from single-cell RNA-sequencing data od J. Javier Díaz-Mejía, Elaine C. Meng, Alexander R. Pico, Sonya A. MacParland, Troy Ketela, Trevor J. Pugh, Gary D. Bader, John H. Morris

    Izdano 2019
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  8. 8
    DOCK 6: Combining techniques to model RNA–small molecule complexes

    DOCK 6: Combining techniques to model RNA–small molecule complexes od P. Therese Lang, Scott R. Brozell, Sudipto Mukherjee, Eric F. Pettersen, Elaine C. Meng, Veena Thomas, Robert C. Rizzo, David A. Case, Thomas Leroy James, Irwin D. Kuntz

    Izdano 2009
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  9. 9
    The Structure–Function Linkage Database

    The Structure–Function Linkage Database od Eyal Akiva, Shoshana Brown, Daniel E. Almonacid, Alan E. Barber, Ashley F. Custer, Michael Hicks, Conrad C. Huang, Florian Lauck, Susan T. Mashiyama, Elaine C. Meng, David Mischel, John H. Morris, Sunil Ojha, Alexandra M. Schnoes, Doug Stryke, Jeffrey M. Yunes, Thomas E. Ferrin, Gemma L. Holliday, Patricia C. Babbitt

    Izdano 2013
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  10. 10
    The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

    The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information od John H. Morris, Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng, Conrad C. Huang, Gabriel Cerono, Gundolf Schenk, Angela Rizk‐Jackson, Adil Harroud, Lauren Sanders, Sylvain V. Costes, Krish Bharat, Arjun Chakraborty, Alexander R. Pico, Taline Mardirossian, Michael J. Keiser, Alice Tang, Josef Hardi, Yongmei Shi, Mark A. Musen, Sharat Israni, Sui Huang, Peter W. Rose, Charlotte Nelson, Sergio E. Baranzini

    Izdano 2023
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