يعرض 1 - 6 نتائج من 6 نتيجة بحث عن '"Liam Mead"', وقت الاستعلام: 0.95s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Antibacterial T6SS effectors with a VRR-Nuc domain are structure-specific nucleases

    المؤلفون: Julia Takuno Hespanhol, Daniel Enrique Sanchez-Limache, Gianlucca Gonçalves Nicastro, Liam Mead, Edgar Enrique Llontop, Gustavo Chagas-Santos, Chuck Shaker Farah, Robson Francisco de Souza, Rodrigo da Silva Galhardo, Andrew L Lovering, Ethel Bayer-Santos

    المصدر: eLife, Vol 11 (2022)

    مصطلحات موضوعية: Salmonella, T6SS, effector, toxin, VRR-Nuc, nuclease, Medicine, Science, Biology (General), QH301-705.5

    وصف الملف: electronic resource

    Relation: https://elifesciences.org/articles/82437; https://doaj.org/toc/2050-084X

    URL الوصول: https://doaj.org/article/5d0baa60f85247d08998c51a86b2c648

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  2. 2
    دورية أكاديمية
    DeepCDpred: Inter-residue distance and contact prediction for improved prediction of protein structure.

    المؤلفون: Shuangxi Ji, Tuğçe Oruç, Liam Mead, Muhammad Fayyaz Rehman, Christopher Morton Thomas, Sam Butterworth, Peter James Winn

    المصدر: PLoS ONE, Vol 14, Iss 1, p e0205214 (2019)

    مصطلحات موضوعية: Medicine, Science

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1932-6203

    URL الوصول: https://doaj.org/article/7f83ca2b3539473e81f0b5c37d081a35

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  3. 3
    Antibacterial T6SS effectors with a VRR-Nuc domain are structure-specific nucleases

    المؤلفون: Daniel Enrique Sanchez-Limache, Julia Takuno Hespanhol, Gianlucca Gonçalves Nicastro, Liam Mead, Edgar Enrique Llontop, Gustavo Chagas-Santos, Chuck Shaker Farah, Robson Francisco de Souza, Rodrigo da Silva Galhardo, Andrew L Lovering, Ethel Bayer-Santos

    المصدر: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
    Universidade de São Paulo (USP)
    instacron:USP

    مصطلحات موضوعية: Bacterial Proteins, Genomic Islands, General Immunology and Microbiology, General Neuroscience, Escherichia coli, General Medicine, Type VI Secretion Systems, Endonucleases, TOXINAS, Phylogeny, General Biochemistry, Genetics and Molecular Biology, Anti-Bacterial Agents

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f81d638684c412ec9233bf3d93b6e117
    https://doi.org/10.7554/elife.82437

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  4. 4
    Author response: Antibacterial T6SS effectors with a VRR-Nuc domain are structure-specific nucleases

    المؤلفون: Daniel Enrique Sanchez-Limache, Julia Takuno Hespanhol, Gianlucca Gonçalves Nicastro, Liam Mead, Edgar Enrique Llontop, Gustavo Chagas-Santos, Chuck Shaker Farah, Robson Francisco de Souza, Rodrigo da Silva Galhardo, Andrew L Lovering, Ethel Bayer-Santos

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e9496ff23bd2f4b6418a468c5d4a95e4
    https://doi.org/10.7554/elife.82437.sa2

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  5. 5
    Antibacterial T6SS effectors with a VRR-Nuc domain induce target cell death via DNA Double-Strand Breaks

    المؤلفون: Julia Takuno Hespanhol, Daniel Enrique Sanchez Limache, Gianlucca Gonçalves Nicastro, Liam Mead, Edgar Enrique Llontop, Gustavo Chagas Santos, Chuck Shaker Farah, Robson Francisco de Souza, Rodrigo da Silva Galhardo, Andrew Lovering, Ethel Bayer Santos

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::90f69f9a4cb73e9e06c45fee49088ee1
    https://doi.org/10.1101/2021.12.26.474169

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  6. 6
    DeepCDpred: Inter-residue Distance and Contact Prediction for Improved Prediction of Protein Structure

    المؤلفون: Sam Butterworth, Liam Mead, Shuangxi Ji, Tuğçe Oruç, Muhammad Fayyaz ur Rehman, Christopher M. Thomas, Peter J. Winn

    المصدر: Ji, S, Oruç, T, Mead, L, Rehman, M F, Thomas, C M, Butterworth, S & Winn, P J 2019, ' Deep CDpred : Inter-residue distance and contact prediction for improved prediction of protein structure ', PLoS ONE, vol. 14, no. 1, e0205214 . https://doi.org/10.1371/journal.pone.0205214
    PLoS ONE, Vol 14, Iss 1, p e0205214 (2019)
    PLoS ONE

    مصطلحات موضوعية: Protein Structure Comparison, Models, Molecular, Support Vector Machine, Protein Structure Prediction, Protein Sequencing, Biochemistry, Database and Informatics Methods, Mathematical and Statistical Techniques, Protein structure, Sequence Analysis, Protein, Prediction methods, Macromolecular Structure Analysis, Databases, Protein, Mathematics, chemistry.chemical_classification, Agricultural and Biological Sciences(all), Statistics, Physical Sciences, Medicine, Deep neural networks, Biological system, Sequence Analysis, Algorithms, Research Article, Protein Structure, Computer and Information Sciences, Distance constraints, Neural Networks, Bioinformatics, Globular protein, Science, Research and Analysis Methods, Deep Learning, Amino Acid Sequence, Statistical Methods, Amino acid residue, Molecular Biology Techniques, Sequencing Techniques, Molecular Biology, Residue (complex analysis), Biochemistry, Genetics and Molecular Biology(all), Biology and Life Sciences, Proteins, Computational Biology, Protein Structure, Tertiary, chemistry, Protein Structure Networks, Sequence Alignment, Neuroscience, Forecasting

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a5705143e4b0f0a35d2f520631edc34
    https://doi.org/10.1101/425785

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