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1دورية أكاديمية
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
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2دورية أكاديمية
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)
وصف الملف: electronic resource
Relation: https://doaj.org/toc/1932-6203
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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:USPمصطلحات 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
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4Author 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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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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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 ONEمصطلحات 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