1040 10 20655 https://www.socictopen.socict.org/files/original/d9ae953492676b6cba8d3431060afef0.pdf 462e7575ed69281252f26f8e4d8fd40c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences Creator An entity primarily responsible for making the resource Huixiao Hong, Bohu Pan, Zuowei Ji, Sugunadevi Sakkiah, Wenjing Guo, Jie Liu, Tucker A. Patterson Description An account of the resource Severe acute respiratory syndrome coronavirus 2 (SARS−CoV−2) has caused the ongoing global COVID-19 pandemic that began in late December 2019. The rapid spread of SARS−CoV−2 is primarily due to person-to-person transmission. To understand the epidemiological traits of SARS−CoV−2 transmission, we conducted phylogenetic analysis on genome sequences from >54K SARS−CoV−2 cases obtained from two public databases. Hierarchical clustering analysis on geographic patterns in the resulting phylogenetic trees revealed a co-expansion tendency of the virus among neighboring countries with diverse sources and transmission routes for SARS−CoV−2. Pairwise sequence similarity analysis demonstrated that SARS−CoV−2 is transmitted locally and evolves during transmission. However, no significant differences were seen among SARS−CoV−2 genomes grouped by host age or sex. Here, our identified epidemiological traits provide information to better prevent transmission of SARS−CoV−2 and to facilitate the development of effective vaccines and therapeutics against the virus. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource phylogenetic analysis, genome, covid-19, sequence, SARS‐CoV‐2, epidemiological trait Identifier An unambiguous reference to the resource within a given context 10.3390/v13050764 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology https://www.socictopen.socict.org/files/original/b8304f709aa7c93816388c33d7ecd4b5.pdf fa31540180e8fba8e064f35c91fa23a6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of genetic relationships and subspecies signatures in Xylella fastidiosa Creator An entity primarily responsible for making the resource Nicolas Denancé, Martial Briand, Romain Gaborieau, Sylvain Gaillard, Marie-Agnès Jacques Description An account of the resource Abstract Background The phytopathogenic bacterium Xylella fastidiosa was thought to be restricted to the Americas where it infects and kills numerous hosts. Its detection worldwide has been blooming since 2013 in Europe and Asia. Genetically diverse, this species is divided into six subspecies but genetic traits governing this classification are poorly understood. Results SkIf (Specific k-mers Identification) was designed and exploited for comparative genomics on a dataset of 46 X. fastidiosa genomes, including seven newly sequenced individuals. It was helpful to quickly check the synonymy between strains from different collections. SkIf identified specific SNPs within 16S rRNA sequences that can be employed for predicting the distribution of Xylella through data mining. Applied to inter- and intra-subspecies analyses, it identified specific k-mers in genes affiliated to differential gene ontologies. Chemotaxis-related genes more prevalently possess specific k-mers in genomes from subspecies fastidiosa, morus and sandyi taken as a whole group. In the subspecies pauca increased abundance of specific k-mers was found in genes associated with the bacterial cell wall/envelope/plasma membrane. Most often, the k-mer specificity occurred in core genes with non-synonymous SNPs in their sequences in genomes of the other subspecies, suggesting putative impact in the protein functions. The presence of two integrative and conjugative elements (ICEs) was identified, one chromosomic and an entire plasmid in a single strain of X. fastidiosa subsp. pauca. Finally, a revised taxonomy of X. fastidiosa into three major clades defined by the subspecies pauca (clade I), multiplex (clade II) and the combination of fastidiosa, morus and sandyi (clade III) was strongly supported by k-mers specifically associated with these subspecies. Conclusions SkIf is a robust and rapid software, freely available, that can be dedicated to the comparison of sequence datasets and is applicable to any field of research. Applied to X. fastidiosa, an emerging pathogen in Europe, it provided an important resource to mine for identifying genetic markers of subspecies to optimize the strategies attempted to limit the pathogen dissemination in novel areas. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource 16S rRNA gene, horizontal gene transfer, phylogeny, k-mer, SkIf, taxonomy Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12864-019-5565-9 Source A related resource from which the described resource is derived BMC Genomics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics, Biotechnology Language A language of the resource EN https://www.socictopen.socict.org/files/original/351c085626cc5918e5d4e7adbe1e2003.pdf 899200caf800b2b406f4d7cfca5d8054 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach Creator An entity primarily responsible for making the resource Klempíř Ondřej, Krupička Radim, Bakštein Eduard, Jech Robert Description An account of the resource Deep brain stimulation (DBS) is an internationally accepted form of treatment option for selected patients with Parkinson’s disease and dystonia. Intraoperative extracellular microelectrode recordings (MER) are considered as the standard electrophysiological method for the precise positioning of the DBS electrode into the target brain structure. Pre-processing of MERs is a key phase in clinical analysis, with intraoperative microelectrode recordings being prone to several artifact groups (up to 25 %). The aim of this methodological article is to provide a convolutional neural network (CNN) processing pipeline for the detection of artifacts in an MER. We applied continuous wavelet transform (CWT) to generate an over-complete time–frequency representation. We demonstrated that when attempting to find artifacts in an MER, the new CNN + CWT provides a high level of accuracy (ACC = 88.1 %), identifies individual classes of artifacts (ACC = 75.3 %) and also offers artifact time onset detail, which can lead to a reduction in false positives/negatives. In summary, the presented methodology is capable of identifying and removing various artifacts in a comprehensive database of MER and represents a substantial improvement over the existing methodology. We believe that this approach will assist in the proposal of interesting clinical hypotheses and will have neurologically relevant effects. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource artifacts detection, convolutional neural networks, Parkinson’s disease, deep brain stimulation, microrecording, wavelet analysis Identifier An unambiguous reference to the resource within a given context DOI: 10.2478/msr-2019-0029 Source A related resource from which the described resource is derived Measurement Science Review Publisher An entity responsible for making the resource available Sciendo Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mathematics Language A language of the resource EN https://www.socictopen.socict.org/files/original/0b338d1953c1507df8a9062b16ab0b04.pdf fed2f0c9b53c78dc0179309dda35e6f9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of NCAM that interacts with the PHE-CoV spike protein Creator An entity primarily responsible for making the resource Chen Keyan, Du Chongtao, Ren Wenzhi, Lu Huijun, Zhao Kui, He Wenqi, Gao Wei, Lan Yungang, Song Deguang, Gao Feng Description An account of the resource Abstract Background The spike proteins of coronaviruses associate with cellular molecules to mediate infection of their target cells. The characterization of cellular proteins required for virus infection is essential for understanding viral life cycles and may provide cellular targets for antiviral therapies. Results We identified Neural Cell Adhesion Molecule (NCAM) as a novel interacting partner of the PHE-CoV S protein. A T7 phage display cDNA library from N2a cells was constructed, and the library was screened with the soluble PHE-CoV S glycoproteins. We used a coimmunoprecipitation assay to show that only the NCAM was a binding partner of spike protein. We found that a soluble form of anti-NCAM antibody blocked association of the PHE-CoV with N2a cells. Furthermore, double-stranded siRNA targeted against NCAM inhibited PHE-CoV infection. Conclusions A novel interaction was identified between NCAM and spike protein and this association is critical during PHE-CoV infection. Date A point or period of time associated with an event in the lifecycle of the resource 2010 Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/1743-422X-7-254 Source A related resource from which the described resource is derived Virology Journal Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/6097480153825821b417dce2363041e6.pdf 1c83c1dfa14b81bcc5778c606fb4948e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of New Respiratory Viruses in the New Millennium Creator An entity primarily responsible for making the resource Michael Berry, Junaid Gamieldien, Burtram C. Fielding Description An account of the resource The rapid advancement of molecular tools in the past 15 years has allowed for the retrospective discovery of several new respiratory viruses as well as the characterization of novel emergent strains. The inability to characterize the etiological origins of respiratory conditions, particularly in children, led several researchers to pursue the discovery of the underlying etiology of disease. In 2001, this led to the discovery of human metapneumovirus (hMPV) and soon following that the outbreak of Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) promoted an increased interest in coronavirology and the latter discovery of human coronavirus (HCoV) NL63 and HCoV-HKU1. Human bocavirus, with its four separate lineages, discovered in 2005, has been linked to acute respiratory tract infections and gastrointestinal complications. Middle East Respiratory Syndrome coronavirus (MERS-CoV) represents the most recent outbreak of a completely novel respiratory virus, which occurred in Saudi Arabia in 2012 and presents a significant threat to human health. This review will detail the most current clinical and epidemiological findings to all respiratory viruses discovered since 2001. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Subject The topic of the resource Respiratory viruses, human coronaviruses, hMPV, bocavirus, SARS-CoV, MERS Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v7030996 Source A related resource from which the described resource is derived Viruses Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/7e2fa8afc05f6b99ef1bc1628c1c78cf.pdf fc3b4caf12acb81ae8d71a4b08f95102 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of Novel Hypothalamic MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating ACE2 and TMPRSS2 Expression: An In Silico Analysis Creator An entity primarily responsible for making the resource Debasmita Mukhopadhyay, Bashair M. Mussa Description An account of the resource Background: Neuroinvasion of severe acute respiratory syndrome coronavirus (SARS-CoV) is well documented and, given the similarities between this virus and SARS-CoV-2, it seems that the neurological impairment that is associated with coronavirus disease 2019 (COVID-19) is due to SARS-CoV-2 neuroinvasion. Hypothalamic circuits are exposed to the entry of the virus via the olfactory bulb and interact centrally with crucial respiratory nuclei. Hypothalamic microRNAs are considered as potential biomarkers and modulators for various diseases and future therapeutic targets. The present study aims to investigate the microRNAs that regulate the expression of hypothalamic angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2), essential elements for SARS-CoV-2 cell entry. Methods: To determine potential hypothalamic miRNAs that can directly bind to ACE2 and TMPRSS2, multiple target bioinformatics prediction algorithms were used, including miRBase, Target scan, and miRWalk2.029. Results: Our in silico analysis has revealed that, although there are over 5000 hypothalamic miRNAs, around 31 miRNAs and 29 miRNAs have shown binding sites and strong binding capacity against ACE2 and TMPRSS2, respectively. Conclusion: These novel potential hypothalamic miRNAs can be used to identify new therapeutic targets to treat neurological symptoms in COVID-19 patients via regulation of ACE2 and TMPRSS2 expression. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource TMPRSS2, covid-19, SARS-CoV-2, ACE2, miRNA, hypothalamic circuits Identifier An unambiguous reference to the resource within a given context 10.3390/brainsci10100666 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Neurosciences. Biological psychiatry. Neuropsychiatry https://www.socictopen.socict.org/files/original/59ee1669f2505156dbce9763eab7b26f.pdf a46663b8a3a6f46ddd4c1dd497832027 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of pathogens and virulence profile of Rhodococcus equi and Escherichia coli strains obtained from sand of parks Creator An entity primarily responsible for making the resource M.C. Fernandes, S. Takai, D.S. Leite, J.P.A.N. Pinto, P. E. Brandão, V.A. Santarém, F.J.P. Listoni, A.V. Da Silva, M.G. Ribeiro Description An account of the resource The identification of pathogens of viral (Rotavirus, Coronavirus), parasitic (Toxocara spp.) and bacterial (Escherichia coli, Salmonella spp., Rhodococcus equi) origin shed in feces, and the virulence profile of R. equi and E. coli isolates were investigated in 200 samples of sand obtained from 40 parks, located in central region of state of Sao Paulo, Brazil, using different diagnostic methods. From 200 samples analyzed, 23 (11.5%) strains of R. equi were isolated. None of the R. equi isolates showed a virulent (vapA gene) or intermediately virulent (vapB gene) profiles. Sixty-three (31.5%) strains of E. coli were identified. The following genes encoding virulence factors were identified in E. coli: eae, bfp, saa, iucD, papGI, sfa and hly. Phylogenetic classification showed that 63 E. coli isolates belonged to groups B1 (52.4%), A (25.4%) and B2 (22.2%). No E. coli serotype O157:H7 was identified. Eggs of Toxocara sp. were found in three parks and genetic material of bovine Coronavirus was identified in one sample of one park. No Salmonella spp. and Rotavirus isolates were identified in the samples of sand. The presence of R. equi, Toxocara sp, bovine Coronavirus and virulent E. coli isolates in the environment of parks indicates that the sanitary conditions of the sand should be improved in order to reduce the risks of fecal transmission of pathogens of zoonotic potential to humans in these places. Date A point or period of time associated with an event in the lifecycle of the resource 2013 Subject The topic of the resource enteric pathogens, Virulence, sand, feces, parks, E. coli, R. equi Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Brazilian Journal of Microbiology Publisher An entity responsible for making the resource available Sociedade Brasileira de Microbiologia Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/861ddae48f211795284bc2ef7785e58b.pdf 2e8d5f1830455af5aca3843065157db6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of phosphate solubilizing bacteria in a Andisol of Colombian coffee region Creator An entity primarily responsible for making the resource Carlos Adolfo Cisneros Rojas, Marina Sánchez de Prager, Juan Carlos Menjivar Flores Description An account of the resource Phosphorus is an essential nutrient for coffee growing, however, in Colombia most of the soils have low concentrations of this element. A strategy to supply the demand is the use of phosphate solubilizing microorganisms (PSM), in that order, 26 rhizospheric bacteria of Typic melanudans soil of Cajibío (Cauca, Colombia) were isolated, in three agroecosystems: coffee at full sun exposure, coffee with shade and relic secondary forest, evaluating the phosphate solubilizing efficiency (PSE) for Ca-P, Al-P, Fe-P in the solid and liquid Pikovskaya media. It showed the following solubilization sequence: Ca-P> Al-P> Fe-P. Two isolated bacteria were identified by DNA extraction and analysis of the 16S rRNA gene as Kocuria sp, and Bacillus subtilis. Later, using HPLC were identified organic acids present in the three phosphorus sources as: citric, gluconic, D- and L-malic, D- and L-lactic acid with higher presence in Ca-P-Kocuria sp. Strong acidification was observed for Fe-P and Al-P in all conditions. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Bacillus subtilis, Kocuria sp, biofertilizantes, eficiencia solubilizadora de fosfato, Ácidos orgânicos Identifier An unambiguous reference to the resource within a given context 10.15446/rev.colomb.biote.v19n1.65966 Source A related resource from which the described resource is derived Revista Colombiana de Biotecnología Publisher An entity responsible for making the resource available Universidad Nacional de Colombia Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biotechnology Relation A related resource <a href="https://revistas.unal.edu.co/index.php/biotecnologia/article/view/65966" target="_blank" rel="noreferrer noopener">https://revistas.unal.edu.co/index.php/biotecnologia/article/view/65966</a> https://www.socictopen.socict.org/files/original/045a59dd2f01abdacd49768e1dccf644.pdf 7d2614c57e6ddc744f4cb0fe21f0c879 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of potential antiviral compounds against SARS-CoV-2 structural and non structural protein targets: A pharmacoinformatics study of the CAS COVID-19 dataset. Creator An entity primarily responsible for making the resource Timothy Kirtek, Rolando García, Anas Hussain, Prasad Koduru, Murat Atis, Kathleen Wilson, Jason Y Park, Inimary Toby, Kimberly Diwa, Lavang Vu, Samuel Ho, Fajar Adnan, Ashley Nguyen, Andrew Cox, Patricia García, Yanhui Li, Heather Jones, Guanglu Shi, Allen Green, David Rosenbaum Description An account of the resource SARS-CoV-2 is a newly discovered virus which causes COVID-19 (coronavirus disease of 2019), initially documented as a human pathogen in 2019 in the city of Wuhan China, has now quickly spread across the globe with an urgency to develop effective treatments for the virus and emerging variants. Therefore, to identify potential therapeutics, an antiviral catalogue of compounds from the CAS registry, a division of the American Chemical Society was evaluated using a pharmacoinformatics approach. A total of 49,431 compounds were initially recovered. After a biological and chemical curation, only 23,575 remained. A machine learning approach was then used to identify potential compounds as inhibitors of SARS-CoV-2 based on a training dataset of molecular descriptors and fingerprints of known reported compounds to have favorable interactions with SARS-CoV-2. This approach identified 178 compounds, however, a molecular docking analysis revealed only 39 compounds with strong binding to active sites. Downstream molecular analysis of four of these compounds revealed various non-covalent interactions along with simultaneous modulation between ligand and protein active site pockets. The pharmacological profiles of these compounds showed potential drug-likeness properties. Our work provides a list of candidate anti-viral compounds that may be used as a guide for further investigation and therapeutic development against SARS-CoV-2. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource molecular docking, covid-19, SARS-CoV-2, molecular dynamics Identifier An unambiguous reference to the resource within a given context 10.1016/j.compbiomed.2021.104364 Source A related resource from which the described resource is derived Computers in biology and medicine https://www.socictopen.socict.org/files/original/0cea92b0ae5a8671d36cbeb6dfd12a0e.pdf 99a07e68fcc6bb116f80aff7cf292eae Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identification of residues of SARS-CoV nsp1 that differentially affect inhibition of gene expression and antiviral signaling. Creator An entity primarily responsible for making the resource Andrew R Jauregui, Dhruti Savalia, Virginia K Lowry, Cara M Farrell, Marc G Wathelet Description An account of the resource An epidemic of Severe Acute Respiratory Syndrome (SARS) led to the identification of an associated coronavirus, SARS-CoV. This virus evades the host innate immune response in part through the expression of its non-structural protein (nsp) 1, which inhibits both host gene expression and virus- and interferon (IFN)-dependent signaling. Thus, nsp1 is a promising target for drugs, as inhibition of nsp1 would make SARS-CoV more susceptible to the host antiviral defenses. To gain a better understanding of nsp1 mode of action, we generated and analyzed 38 mutants of the SARS-CoV nsp1, targeting 62 solvent exposed residues out of the 180 amino acid protein. From this work, we identified six classes of mutants that abolished, attenuated or increased nsp1 inhibition of host gene expression and/or antiviral signaling. Each class of mutants clustered on SARS-CoV nsp1 surface and suggested nsp1 interacts with distinct host factors to exert its inhibitory activities. Identification of the nsp1 residues critical for its activities and the pathways involved in these activities should help in the design of drugs targeting nsp1. Significantly, several point mutants increased the inhibitory activity of nsp1, suggesting that coronaviruses could evolve a greater ability to evade the host response through mutations of such residues. Date A point or period of time associated with an event in the lifecycle of the resource 2013 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0062416 Source A related resource from which the described resource is derived PLoS ONE Publisher An entity responsible for making the resource available Public Library of Science (PLoS) Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine Language A language of the resource EN