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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A three-stemmed mRNA pseudoknot in the SARS coronavirus frameshift signal.</text>
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                <text>Ewan P. Plant, Gabriela C Pérez-Alvarado, Jonathan L. Jacobs, Bani Mukhopadhyay, Mirko Hennig, Jonathan D. Dinman</text>
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                <text>A wide range of RNA viruses use programmed -1 ribosomal frameshifting for the production of viral fusion proteins. Inspection of the overlap regions between ORF1a and ORF1b of the SARS-CoV genome revealed that, similar to all coronaviruses, a programmed -1 ribosomal frameshift could be used by the virus to produce a fusion protein. Computational analyses of the frameshift signal predicted the presence of an mRNA pseudoknot containing three double-stranded RNA stem structures rather than two. Phylogenetic analyses showed the conservation of potential three-stemmed pseudoknots in the frameshift signals of all other coronaviruses in the GenBank database. Though the presence of the three-stemmed structure is supported by nuclease mapping and two-dimensional nuclear magnetic resonance studies, our findings suggest that interactions between the stem structures may result in local distortions in the A-form RNA. These distortions are particularly evident in the vicinity of predicted A-bulges in stems 2 and 3. In vitro and in vivo frameshifting assays showed that the SARS-CoV frameshift signal is functionally similar to other viral frameshift signals: it promotes efficient frameshifting in all of the standard assay systems, and it is sensitive to a drug and a genetic mutation that are known to affect frameshifting efficiency of a yeast virus. Mutagenesis studies reveal that both the specific sequences and structures of stems 2 and 3 are important for efficient frameshifting. We have identified a new RNA structural motif that is capable of promoting efficient programmed ribosomal frameshifting. The high degree of conservation of three-stemmed mRNA pseudoknot structures among the coronaviruses suggests that this presents a novel target for antiviral therapeutics.</text>
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                <text>2005</text>
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                <text>DOI: 10.1371/journal.pbio.0030172</text>
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                <text>PLoS Biology</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Biology (General)</text>
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              <name>Title</name>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Isolation and characterization of avian coronavirus from healthy Eclectus parrots (Eclectus roratus) from Indonesia</text>
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                <text>G. K. Suryaman, R.D. Soejoedono, A. Setiyono, O. N. Poetri, E. Handharyani</text>
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                <text>Background and Aim: Avian coronavirus has a wide range of hosts, from chickens and turkeys to wild birds. This virus causes an economically and, possibly, environmentally, important loss in the poultry industry. Therefore, research into the avian coronavirus in various species of birds is required. The Eclectus parrot (Eclectus roratus) is an endemic bird to Indonesia and Northern Australia and often kept as pets. At present, there has been limited information about avian coronavirus infection among birds. This study aimed to determine the presence of and to characterize avian coronavirus isolated from Eclectus parrots in Indonesia.Materials and Methods: Cloacal swab samples were taken from 10 healthy Eclectus parrots (E. roratus). Each isolate was propagated into specific pathogen-free embryonated chicken eggs. The presence of avian coronavirus was determined using three sets of primers targeting the 3' untranslated region (3'-UTR) of avian coronavirus (UTR41+/11–), the N gene of the infectious bronchitis virus (IBVN+/–), and the S1 gene of the IBV (XCE2+/XCE2–). The infectious bronchitis vaccine strain H120 was used as a positive control. Resulting positive bands were sequenced for the S1 gene.Results: None of the isolates was positive for the 3'-UTR, four isolates were positive for the N gene of infectious bronchitis, and two isolates were positive for the S1 gene of the IBV. However, only one isolate (parrot/Indonesia/BX9/16) was sequenced for the partial S1 gene with primers XCE2+/XCE2–. The partial nucleotide sequence of this isolate showed 100% homology with the IBV GI-13 lineage, specifically with a field isolate of the 4/91 variant 1 Israel and the 4/91 vaccine on the hypervariable region 3 site of the S1 gene.Conclusion: An IB-like avian coronavirus was isolated from healthy Eclectus parrots. Our results indicate that IBV has a wide range of hosts, which prompt the need to understand the interspecies connection of this virus better.</text>
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                <text>2019</text>
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                <text>avian coronavirus, Eclectus Parrot, Infectious Bronchitis</text>
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                <text>DOI: 10.14202/vetworld.2019.1797-1805</text>
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                <text>Veterinary World</text>
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                <text>Veterinary World</text>
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                <text>Veterinary medicine, Animal culture</text>
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                <text>EN</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>A phenomenological model for predicting melting temperatures of DNA sequences.</text>
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              <elementText elementTextId="1769">
                <text>Garima Khandelwal, Jayaram Bhyravabhotla</text>
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                <text>We report here a novel method for predicting melting temperatures of DNA sequences based on a molecular-level hypothesis on the phenomena underlying the thermal denaturation of DNA. The model presented here attempts to quantify the energetic components stabilizing the structure of DNA such as base pairing, stacking, and ionic environment which are partially disrupted during the process of thermal denaturation. The model gives a Pearson product-moment correlation coefficient (r) of approximately 0.98 between experimental and predicted melting temperatures for over 300 sequences of varying lengths ranging from 15-mers to genomic level and at different salt concentrations. The approach is implemented as a web tool (www.scfbio-iitd.res.in/chemgenome/Tm_predictor.jsp) for the prediction of melting temperatures of DNA sequences.</text>
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                <text>2010</text>
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                <text>DOI: 10.1371/journal.pone.0012433</text>
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              <elementText elementTextId="1773">
                <text>PLoS ONE</text>
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                <text>Conformational reorganization of the SARS coronavirus spike following receptor binding: implications for membrane fusion.</text>
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              <elementText elementTextId="1760">
                <text>Daniel R. Beniac, Shauna L Devarennes, Anton Andonov, Runtao He, Tim F. Booth</text>
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                <text>The SARS coronavirus (SARS-CoV) spike is the largest known viral spike molecule, and shares a similar function with all class 1 viral fusion proteins. Previous structural studies of membrane fusion proteins have largely used crystallography of static molecular fragments, in isolation of their transmembrane domains. In this study we have produced purified, irradiated SARS-CoV virions that retain their morphology, and are fusogenic in cell culture. We used cryo-electron microscopy and image processing to investigate conformational changes that occur in the entire spike of intact virions when they bind to the viral receptor, angiotensin-converting enzyme 2 (ACE2). We have shown that ACE2 binding results in structural changes that appear to be the initial step in viral membrane fusion, and precisely localized the receptor-binding and fusion core domains within the entire spike. Furthermore, our results show that receptor binding and subsequent membrane fusion are distinct steps, and that each spike can bind up to three ACE2 molecules. The SARS-CoV spike provides an ideal model system to study receptor binding and membrane fusion in the native state, employing cryo-electron microscopy and single-particle image analysis.</text>
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                <text>2007</text>
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                <text>DOI: 10.1371/journal.pone.0001082</text>
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                <text>PLoS ONE</text>
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                <text>Cynomolgus macaque as an animal model for severe acute respiratory syndrome.</text>
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                <text>James V. Lawler, Timothy P Endy, Lisa E. Hensley, Aura Garrison, Elizabeth A. Fritz, May Lesar, Ralph S. Baric, David A Kulesh, David A. Norwood, Leonard P Wasieloski, Melanie P Ulrich, Tom R Slezak, Elizabeth Vitalis, John W. Huggins, Peter B. Jahrling, Jason Paragas</text>
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                <text>The emergence of severe acute respiratory syndrome (SARS) in 2002 and 2003 affected global health and caused major economic disruption. Adequate animal models are required to study the underlying pathogenesis of SARS-associated coronavirus (SARS-CoV) infection and to develop effective vaccines and therapeutics. We report the first findings of measurable clinical disease in nonhuman primates (NHPs) infected with SARS-CoV.In order to characterize clinically relevant parameters of SARS-CoV infection in NHPs, we infected cynomolgus macaques with SARS-CoV in three groups: Group I was infected in the nares and bronchus, group II in the nares and conjunctiva, and group III intravenously. Nonhuman primates in groups I and II developed mild to moderate symptomatic illness. All NHPs demonstrated evidence of viral replication and developed neutralizing antibodies. Chest radiographs from several animals in groups I and II revealed unifocal or multifocal pneumonia that peaked between days 8 and 10 postinfection. Clinical laboratory tests were not significantly changed. Overall, inoculation by a mucosal route produced more prominent disease than did intravenous inoculation. Half of the group I animals were infected with a recombinant infectious clone SARS-CoV derived from the SARS-CoV Urbani strain. This infectious clone produced disease indistinguishable from wild-type Urbani strain.SARS-CoV infection of cynomolgus macaques did not reproduce the severe illness seen in the majority of adult human cases of SARS; however, our results suggest similarities to the milder syndrome of SARS-CoV infection characteristically seen in young children.</text>
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                <text>2006</text>
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                <text>DOI: 10.1371/journal.pmed.0030149</text>
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                <text>PLoS Medicine</text>
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                <text>Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Yaron Orenstein, David Pellow, Guillaume Marçais, Ron Shamir, Carl Kingsford</text>
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                <text>With the rapidly increasing volume of deep sequencing data, more efficient algorithms and data structures are needed. Minimizers are a central recent paradigm that has improved various sequence analysis tasks, including hashing for faster read overlap detection, sparse suffix arrays for creating smaller indexes, and Bloom filters for speeding up sequence search. Here, we propose an alternative paradigm that can lead to substantial further improvement in these and other tasks. For integers k and L &gt; k, we say that a set of k-mers is a universal hitting set (UHS) if every possible L-long sequence must contain a k-mer from the set. We develop a heuristic called DOCKS to find a compact UHS, which works in two phases: The first phase is solved optimally, and for the second we propose several efficient heuristics, trading set size for speed and memory. The use of heuristics is motivated by showing the NP-hardness of a closely related problem. We show that DOCKS works well in practice and produces UHSs that are very close to a theoretical lower bound. We present results for various values of k and L and by applying them to real genomes show that UHSs indeed improve over minimizers. In particular, DOCKS uses less than 30% of the 10-mers needed to span the human genome compared to minimizers. The software and computed UHSs are freely available at github.com/Shamir-Lab/DOCKS/ and acgt.cs.tau.ac.il/docks/, respectively.</text>
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                <text>2017</text>
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                <text>DOI: 10.1371/journal.pcbi.1005777</text>
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                <text>PLoS Computational Biology</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Biology (General)</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="1732">
                <text>Establishment, immortalisation and characterisation of pteropid bat cell lines.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="1733">
                <text>Gary Crameri, Shawn Todd, Samantha Grimley, Jennifer A McEachern, Glenn A. Marsh, Craig Smith, Mary Tachedjian, Carol de Jong, Elena R Virtue, Meng Yu, Dieter Bulach, Junping Liu, Wojtek P. Michalski, Deborah Middleton, Hume E. Field, Lin-Fa Wang</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="1734">
                <text>BACKGROUND: Bats are the suspected natural reservoir hosts for a number of new and emerging zoonotic viruses including Nipah virus, Hendra virus, severe acute respiratory syndrome coronavirus and Ebola virus. Since the discovery of SARS-like coronaviruses in Chinese horseshoe bats, attempts to isolate a SL-CoV from bats have failed and attempts to isolate other bat-borne viruses in various mammalian cell lines have been similarly unsuccessful. New stable bat cell lines are needed to help with these investigations and as tools to assist in the study of bat immunology and virus-host interactions. METHODOLOGY/FINDINGS: Black flying foxes (Pteropus alecto) were captured from the wild and transported live to the laboratory for primary cell culture preparation using a variety of different methods and culture media. Primary cells were successfully cultured from 20 different organs. Cell immortalisation can occur spontaneously, however we used a retroviral system to immortalise cells via the transfer and stable production of the Simian virus 40 Large T antigen and the human telomerase reverse transcriptase protein. Initial infection experiments with both cloned and uncloned cell lines using Hendra and Nipah viruses demonstrated varying degrees of infection efficiency between the different cell lines, although it was possible to infect cells in all tissue types. CONCLUSIONS/SIGNIFICANCE: The approaches developed and optimised in this study should be applicable to bats of other species. We are in the process of generating further cell lines from a number of different bat species using the methodology established in this study.</text>
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                <text>2009</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="1736">
                <text>DOI: 10.1371/journal.pone.0008266</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="1737">
                <text>PLoS ONE</text>
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            </elementTextContainer>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
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                <text>Public Library of Science (PLoS)</text>
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            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Science, Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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              <name>Description</name>
              <description>An account of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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      <name>Text</name>
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            <name>Title</name>
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                <text>Temporal variability and social heterogeneity in disease transmission: the case of SARS in Hong Kong.</text>
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                <text>Anne Cori, Pierre-Yves Boelle, Guy Thomas, Gabriel M. Leung, Alain-Jacques Valleron</text>
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            <description>An account of the resource</description>
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                <text>The extent to which self-adopted or intervention-related changes in behaviors affect the course of epidemics remains a key issue for outbreak control. This study attempted to quantify the effect of such changes on the risk of infection in different settings, i.e., the community and hospitals. The 2002-2003 severe acute respiratory syndrome (SARS) outbreak in Hong Kong, where 27% of cases were healthcare workers, was used as an example. A stochastic compartmental SEIR (susceptible-exposed-infectious-removed) model was used: the population was split into healthcare workers, hospitalized people and general population. Super spreading events (SSEs) were taken into account in the model. The temporal evolutions of the daily effective contact rates in the community and hospitals were modeled with smooth functions. Data augmentation techniques and Markov chain Monte Carlo (MCMC) methods were applied to estimate SARS epidemiological parameters. In particular, estimates of daily reproduction numbers were provided for each subpopulation. The average duration of the SARS infectious period was estimated to be 9.3 days (+/-0.3 days). The model was able to disentangle the impact of the two SSEs from background transmission rates. The effective contact rates, which were estimated on a daily basis, decreased with time, reaching zero inside hospitals. This observation suggests that public health measures and possible changes in individual behaviors effectively reduced transmission, especially in hospitals. The temporal patterns of reproduction numbers were similar for healthcare workers and the general population, indicating that on average, an infectious healthcare worker did not infect more people than any other infectious person. We provide a general method to estimate time dependence of parameters in structured epidemic models, which enables investigation of the impact of control measures and behavioral changes in different settings.</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2009</text>
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              <elementText elementTextId="1727">
                <text>DOI: 10.1371/journal.pcbi.1000471</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="1728">
                <text>PLoS Computational Biology</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Biology (General)</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Construction and characterization of single-chain variable fragment antibody library derived from germline rearranged immunoglobulin variable genes.</text>
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                <text>Man Cheng, Shirley Y W Chan, Qi Zhao, Elaine Y M Chan, Shannon W. N. Au, Susanna S T Lee, Wing-tai Cheung</text>
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                <text>Antibody repertoires for library construction are conventionally harvested from mRNAs of immune cells. To examine whether germline rearranged immunoglobulin (Ig) variable region genes could be used as source of antibody repertoire, an immunized phage-displayed scFv library was prepared using splenocytic genomic DNA as template. In addition, a novel frame-shifting PCR (fsPCR) step was introduced to rescue stop codon and to enhance diversity of the complementarity-determining region 3 (CDR3). The germline scFv library was initially characterized against the hapten antigen phenyloxazolone (phOx). Sequence analysis of the phOx-selective scFvs indicated that the CDRs consisted of novel as well as conserved motifs. In order to illustrate that the diversity of CDR3 was increased by the fsPCR step, a second scFv library was constructed using a single scFv clone L3G7C as a template. Despite showing similar binding characteristics towards phOx, the scFv clones that were obtained from the L3G7C-derived antibody library gave a lower non-specific binding than that of the parental L3G7C clone. To determine whether germline library represented the endogenous immune status, specific scFv clones for nucleocapsid (N) protein of SARS-associated coronavirus (SCoV) were obtained both from naïve and immunized germline scFv libraries. Both libraries yielded specific anti-N scFvs that exhibited similar binding characteristics towards recombinant N protein, except the immunized library gave a larger number of specific anti-N scFv, and clones with identical nucleotide sequences were found. In conclusion, highly diversified antibody library can be efficiently constructed using germline rearranged immunoglobulin variable genes as source of antibody repertoires and fsPCR to diversify the CDR3.</text>
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                <text>2011</text>
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            <name>Identifier</name>
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                <text>DOI: 10.1371/journal.pone.0027406</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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                <text>PLoS ONE</text>
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            <name>Publisher</name>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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                <text>EN</text>
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        <src>https://www.socictopen.socict.org/files/original/1f085feb6b8ddd75862de6c65e139628.pdf</src>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Sequence-dependent fluorescence of cyanine dyes on microarrays.</text>
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            <name>Creator</name>
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                <text>Christy Agbavwe, Mark M. Somoza</text>
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            <description>An account of the resource</description>
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                <text>Cy3 and Cy5 are among the most commonly used oligonucleotide labeling molecules. Studies of nucleic acid structure and dynamics use these dyes, and they are ubiquitous in microarray experiments. They are sensitive to their environment and have higher quantum yield when bound to DNA. The fluorescent intensity of terminal cyanine dyes is also known to be significantly dependent on the base sequence of the oligonucleotide. We have developed a very precise and high-throughput method to evaluate the sequence dependence of oligonucleotide labeling dyes using microarrays and have applied the method to Cy3 and Cy5. We used light-directed in-situ synthesis of terminally-labeled microarrays to determine the fluorescence intensity of each dye on all 1024 possible 5'-labeled 5-mers. Their intensity is sensitive to all five bases. Their fluorescence is higher with 5' guanines, and adenines in subsequent positions. Cytosine suppresses fluorescence. Intensity falls by half over the range of all 5-mers for Cy3, and two-thirds for Cy5. Labeling with 5'-biotin-streptavidin-Cy3/-Cy5 gives a completely different sequence dependence and greatly reduces fluorescence compared with direct terminal labeling.</text>
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                <text>2011</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>DOI: 10.1371/journal.pone.0022177</text>
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          <element elementId="48">
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                <text>PLoS ONE</text>
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                <text>Public Library of Science (PLoS)</text>
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                <text>Science, Medicine</text>
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            <description>A language of the resource</description>
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                <text>EN</text>
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