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Crystal structure of adenylate kinase
S. Moon, E. Bae, J. Kim
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5xz2/pdb
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Crystal structure of Klebsiella pneumoniae fosfomycin resistance protein (FosAKP) with inhibitor (ANY1) bound
E.H. Klontz, E.J. Sundberg
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5wew/pdb
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Fe(II)/(alpha)ketoglutarate-dependent dioxygenase AndA
Y. Nakashima, T. Senda
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5zm2/pdb
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Crystal structure of YcgR-N domain of YcgR from Escherichia coli
Y.J. Hou, W.S. Yang, D.C. Wang, D.F. Li
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5y6h/pdb
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Structure of HIV-1 Protease in Complex with Inhibitor KNI-1657
M. Adachi, K. Hidaka, R. Kuroki, Y. Kiso
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5yok/pdb
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Crystal structure of plant UVB photoreceptor UVR8 from in situ serial Laue diffraction
Z. Ren
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb6dd7/pdb
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Crystal structure of VACV D13 in complex with 3-formyl rifamycin SV
D. Garriga, C. Accurso, F. Coulibaly
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb6bef/pdb
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Crystal structure of a dimeric cyclophilin A from T.vaginalis
C.C. Cho, M.H. Lin, C.C. Chou, T. Martin, C. Chen, C.H. Hsu
Published: 18 July 2018 by Protein Data Bank
Protein Data Bank, 10.2210/pdb5yb9/pdb
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Evaluation of a culture dependent algorithm and a molecular algorithm for identification of Shigella spp., Escherichia coli, and enteroinvasive E. coli (EIEC)
Maaike J.C. Van Den Beld, Richard F. De Boer, Frans A.G. Reubsaet, John W.A. Rossen, Kai Zhou, Sjoerd Kuiling, Alexander W. Friedrich, Mirjam A.M.D. Kooistra-Smid
Published: 18 July 2018 by American Society for Microbiology in Journal of Clinical Microbiology
American Society for Microbiology, 10.1128/jcm.00510-18
Identification of Shigella spp., Escherichia coli and enteroinvasive E. coli is challenging, because of their close relatedness. Distinction is vital, as infections with Shigella spp. are under surveillance of health authorities, in contrast to EIEC infections. In this study, a culture dependent identification algorithm and a molecular identification algorithm were evaluated. Discrepancies between the two algorithms and original identification were assessed using Whole Genome Sequencing (WGS). After discrepancy analysis, with the molecular algorithm, 100% of the evaluated isolates were identified in concordance with original identification. However, the resolution for certain serotypes was lower than previously described methods and lower than the culture dependent algorithm. Although, the resolution of the culture dependent algorithm is high, 100% of non-invasive E. coli, S. sonnei, S. dysenteriae, 93% of S. boydii and EIEC and 85% of S. flexneri were identified in concordance with the original identification. Discrepancy analysis using WGS was able to confirm one of the used algorithms in four discrepant results. However, it failed to clarify three other discrepant results as it added yet another identification. Both proposed algorithms performed well for the identification of Shigella spp. and EIEC, and are applicable in low-resource settings in contrast to earlier described methods that require WGS for daily diagnostics. Evaluation of the algorithms showed that both algorithms are capable of identifying Shigella species and EIEC isolates. The molecular algorithm is more applicable in clinical diagnostics for fast and accurate screening, while the culture dependent algorithm is more suitable for reference laboratories to identify Shigella spp. and EIEC up to serotype level.
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