414 10 20655 http://socictopen.socict.org/files/original/436798aad8c7401ce6b7af80fe3272f9.pdf 4d69608e6118bc67f6eb55773f7c89a4 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 Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection Creator An entity primarily responsible for making the resource Junli Liu, Fangfang Wang, Liuyang Du, Juan Li, Tianqi Yu, Yulan Jin, Yan Yan, Ji-Yong Zhou, Jin-Yan Gu Description An account of the resource Porcine delta coronavirus (PDCoV) is a novel emerging enterocytetropic virus causing diarrhea, vomiting, dehydration, and mortality in suckling piglets. Long non-coding RNAs (lncRNAs) are known to be important regulators during virus infection. Here, we describe a comprehensive transcriptome profile of lncRNA in PDCoV-infected swine testicular (ST) cells. In total, 1,308 annotated and 1,190 novel lncRNA candidate sequences were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that these lncRNAs might be involved in numerous biological processes. Clustering analysis of differentially expressed lncRNAs showed that 454 annotated and 376 novel lncRNAs were regulated after PDCoV infection. Furthermore, we constructed a lncRNA-protein-coding gene co-expression interaction network. The KEGG analysis of the co-expressed genes showed that these differentially expressed lncRNAs were enriched in pathways related to metabolism and TNF signaling. Our study provided comprehensive information about lncRNAs that would be a useful resource for studying the pathogenesis of and designing antiviral therapy for PDCoV infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource PDCoV infection, RNA-Seq, lncRNA, TNF, metabolic pathway Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmicb.2019.03036 Source A related resource from which the described resource is derived Frontiers in Microbiology Publisher An entity responsible for making the resource available Frontiers Media S.A. 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 http://socictopen.socict.org/files/original/08844c8dbaec7da812fde2603bbb5e8b.pdf b173083e59fa726a56202395c8768780 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 Comprehensive Overview on Multiple Strategies Fighting COVID-19 Creator An entity primarily responsible for making the resource Shaden A.M. Khalifa, Chao Zhao, Zhiming Guo, Syed Ghulam Musharraf, Hesham R. El-Seedi, Ming Du, Thomas Efferth, Briksam S. Mohamed, Mohamed H. Elashal, Mohammad H. Boskabady, Haged H. R. El-Seedi Description An account of the resource Lately, myriad of novel viruses have emerged causing epidemics such as SARS, MERS, and SARS-CoV-2, leading to high mortality rates worldwide. Thus, these viruses represented a challenging threat to mankind, especially considering the miniscule data available at our disposal regarding these novel viruses. The entire world established coordinative relations in research projects regarding drug and vaccine development on the external range, whereas on the internal range, all countries declared it an emergency case through imposing different restrictions related to their border control, large gatherings, school attendance, and most social activities. Pandemic combating plans prioritized all sectors including normal people, medical staff politicians, and scientists collectively shouldered the burden. Through planning and learning the previous lessons from SARS and MERS, healthcare systems could succeed in combating the viral spread and implications of these new pandemics. Different management strategies including social distance, social awareness and isolation represented successful ways to slow down the spread of the pandemic. Furthermore, pre-preparedness of some countries for emergencies is crucial to minimize the consequences of the crisis. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource healthcare systems, Symptoms, strategies, economic recession, global health responses Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph17165813 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 Medicine http://socictopen.socict.org/files/original/592880473f9226e5b30d93902a065e2e.pdf 06c853e3d9afa45b20b5d6ddbaffe38f 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 Comprehensive structural analysis of designed incomplete polypeptide chains of the replicase nonstructural protein 1 from the severe acute respiratory syndrome coronavirus. Creator An entity primarily responsible for making the resource Leonardo Vazquez, Luís Mauricio Trambaioli da Rocha e Lima, Marcius da Silva Almeida Description An account of the resource The cotranslational folding is recognized as a very cooperative process that occurs after the nearly completion of the polypeptide sequence of a domain. Here we investigated the challenges faced by polypeptide segments of a non-vectorial β-barrel fold. Besides the biological interest behind the SARS coronavirus non-structural protein 1 (nsp1, 117 amino acids), this study model has two structural features that motivated its use in this work: 1- its recombinant production is dependent on the temperature, with greater solubility when expressed at low temperatures. This is an indication of the cotranslational guidance to the native protein conformation. 2- Conversely, nsp1 has a six-stranded, mixed parallel/antiparallel β-barrel with intricate long-range interactions, indicating it will need the full-length protein to fold properly. We used non-denaturing purification conditions that allowed the characterization of polypeptide chains of different lengths, mimicking the landscape of the cotranslational fold of a β-barrel, and avoiding the major technical hindrances of working with the nascent polypeptide bound to the ribosome. Our results showed partially folded states formed as soon as the amino acids of the second β-strand were present (55 amino acids). These partially folded states are different based on the length of polypeptide chain. The native α-helix (amino acids 24-37) was identified as a transient structure (~20-30% propensity). We identified the presence of regular secondary structure after the fourth native β-strand is present (89 amino acids), in parallel to the collapse to a non-native 3D structure. Interestingly the polypeptide sequences of the native strands β2, β3 and β4 have characteristics of α-helices. Our comprehensive analyses support the idea that incomplete polypeptide chains, such as the ones of nascent proteins much earlier than the end of the translation, adopt an abundance of specific transient folds, instead of disordered conformations. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0182132 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 http://socictopen.socict.org/files/original/43140f1b166e7d90c47984454566397d.pdf 2830f57e4b1743ab599953829ad06d10 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 Comprendiendo y reduciendo los riesgos climáticos: el impacto de Políticas Innovadoras para una respuesta sostenible a las sequías en Cabo Verde Creator An entity primarily responsible for making the resource Carlos Germano Ferreira Costa Description An account of the resource El Sahel ha experimentado graves condiciones de sequía desde la década de 1970, mientras que en África Occidental las sequías extremas se han producido con mayor frecuencia en los últimos años. La sequía es el peligro más relevante en Cabo Verde en términos de pérdidas económicas. Este país archipelágico experimenta condiciones de sequía extrema de manera regular con un impacto particular en el sector agrícola. Aunque la variabilidad climática sea una fuente importante de riesgo, el impacto de la sequía en la agricultura y en la sociedad no solo depende de las características hidrometeorológicas inherentes de una región, sino también de los niveles de exposición y de la vulnerabilidad de las personas, de los sistemas políticos, y agrícolas. En ese sentido, y a la luz de los cambios globales, la comprensión de perspectivas políticas emergentes, para hacer frente a los riesgos relacionados con el clima, son esenciales para beneficiar la planificación y los procesos de toma de decisión. En esta investigación descriptiva de carácter cuali­tativo buscamos proporcionar a los responsables políticos y a la sociedad civil un esquema actual de desarrollos y factores cruciales que vinculan la reducción de desastres y la integración de la adaptación al cambio climático al desarrollo. Tomamos en consideración Cabo Verde, con especial énfasis en la respuesta de emergencia de sequía entre 2017-18, para discutir los impactos observados del cambio climático en el desarrollo territorial, ya que proporciona la base para comprender enfoques innovadores para analizar los impactos de las sequías y apoyar actividades para la Reducción de Riesgos de Desastres (RRD), al capturar la evolución de los esfuer­zos nacionales, asegurando que informan procesos internacionales, a fin de permitir vías resilientes al clima. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Sahel, gestión para la reducción de riesgos de desastres (rrd), gobernanza de riesgos, impactos sociales y resiliencia social, pequeños estados insulares en desarrollo (peid) Identifier An unambiguous reference to the resource within a given context 10.3989/estgeogr.202048.028 Source A related resource from which the described resource is derived Estudios Geográficos Publisher An entity responsible for making the resource available Consejo Superior de Investigaciones Científicas Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Geography (General) Relation A related resource <a href="http://estudiosgeograficos.revistas.csic.es/index.php/estudiosgeograficos/article/view/771" target="_blank" rel="noreferrer noopener">http://estudiosgeograficos.revistas.csic.es/index.php/estudiosgeograficos/article/view/771</a> http://socictopen.socict.org/files/original/d021e8344af072bf5ef787069e67d54f.pdf 068564aef7a1c8c80cfbac61b2f38de0 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 Compromiso social y convivencia ciudadana en tiempos de pandemia por COVID-19 Creator An entity primarily responsible for making the resource Marta Sahagún-Navarro, Yuly-Marcela Parra-Montoya Description An account of the resource La nueva enfermedad del coronavirus humano COVID-19 se ha convertido en la quinta pandemia documentada desde la pandemia de gripe de 1918 (Liu Y-C et al., 2020). También, ha sido la mayor interrupción en el movimiento de personas desde la Segunda Guerra Mundial (Newland, 2020), lo que ha conllevado a periodos extendidos de cuarentena, órdenes de cierre masivo de refugio en el hogar y negocios, que imponen serias libertades y privaciones económicas (Mello & Wang, 2020), en la mayoría de los países del mundo por la enfermedad que origina. Esto ha modificado las dinámicas sociales, económicas y políticas, desde los niveles institucionales y lógicamente, en los individuos. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, editorial, compromiso social, tiempos de pandemia Identifier An unambiguous reference to the resource within a given context 10.21892/01239813.488 Source A related resource from which the described resource is derived Búsqueda Publisher An entity responsible for making the resource available Corporación Universitaria del Caribe Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Social sciences (General) http://socictopen.socict.org/files/original/27b7df0c0e798834b9cfdcae8386bb8b.pdf f01b6488e57cc442c7ba23f1cbcb1b8e 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 Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection Creator An entity primarily responsible for making the resource Müşerref Duygu Saçar Demirci, Aysun Adan Description An account of the resource MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression found in more than 200 diverse organisms. Although it is still not fully established if RNA viruses could generate miRNAs, there are examples of miRNA like sequences from RNA viruses with regulatory functions. In the case of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there are several mechanisms that would make miRNAs impact the virus, like interfering with viral replication, translation and even modulating the host expression. In this study, we performed a machine learning based miRNA prediction analysis for the SARS-CoV-2 genome to identify miRNA-like hairpins and searched for potential miRNA-based interactions between the viral miRNAs and human genes and human miRNAs and viral genes. Overall, 950 hairpin structured sequences were extracted from the virus genome and based on the prediction results, 29 of them could be precursor miRNAs. Targeting analysis showed that 30 viral mature miRNA-like sequences could target 1,367 different human genes. PANTHER gene function analysis results indicated that viral derived miRNA candidates could target various human genes involved in crucial cellular processes including transcription, metabolism, defense system and several signaling pathways such as Wnt and EGFR signalings. Protein class-based grouping of targeted human genes showed that host transcription might be one of the main targets of the virus since 96 genes involved in transcriptional processes were potential targets of predicted viral miRNAs. For instance, basal transcription machinery elements including several components of human mediator complex (MED1, MED9, MED12L, MED19), basal transcription factors such as TAF4, TAF5, TAF7L and site-specific transcription factors such as STAT1 were found to be targeted. In addition, many known human miRNAs appeared to be able to target viral genes involved in viral life cycle such as S, M, N, E proteins and ORF1ab, ORF3a, ORF8, ORF7a and ORF10. Considering the fact that miRNA-based therapies have been paid attention, based on the findings of this study, comprehending mode of actions of miRNAs and their possible roles during SARS-CoV-2 infections could create new opportunities for the development and improvement of new therapeutics. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource microRNA, host–virus interaction, SARS-CoV-2, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.7717/peerj.9369 Source A related resource from which the described resource is derived PeerJ Publisher An entity responsible for making the resource available PeerJ Inc. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine http://socictopen.socict.org/files/original/6006d098053b694a6ac956aa631baaa8.pdf f01b6488e57cc442c7ba23f1cbcb1b8e 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 Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection Creator An entity primarily responsible for making the resource Müşerref Duygu Saçar Demirci, Aysun Adan Description An account of the resource MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression found in more than 200 diverse organisms. Although it is still not fully established if RNA viruses could generate miRNAs, there are examples of miRNA like sequences from RNA viruses with regulatory functions. In the case of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there are several mechanisms that would make miRNAs impact the virus, like interfering with viral replication, translation and even modulating the host expression. In this study, we performed a machine learning based miRNA prediction analysis for the SARS-CoV-2 genome to identify miRNA-like hairpins and searched for potential miRNA-based interactions between the viral miRNAs and human genes and human miRNAs and viral genes. Overall, 950 hairpin structured sequences were extracted from the virus genome and based on the prediction results, 29 of them could be precursor miRNAs. Targeting analysis showed that 30 viral mature miRNA-like sequences could target 1,367 different human genes. PANTHER gene function analysis results indicated that viral derived miRNA candidates could target various human genes involved in crucial cellular processes including transcription, metabolism, defense system and several signaling pathways such as Wnt and EGFR signalings. Protein class-based grouping of targeted human genes showed that host transcription might be one of the main targets of the virus since 96 genes involved in transcriptional processes were potential targets of predicted viral miRNAs. For instance, basal transcription machinery elements including several components of human mediator complex (MED1, MED9, MED12L, MED19), basal transcription factors such as TAF4, TAF5, TAF7L and site-specific transcription factors such as STAT1 were found to be targeted. In addition, many known human miRNAs appeared to be able to target viral genes involved in viral life cycle such as S, M, N, E proteins and ORF1ab, ORF3a, ORF8, ORF7a and ORF10. Considering the fact that miRNA-based therapies have been paid attention, based on the findings of this study, comprehending mode of actions of miRNAs and their possible roles during SARS-CoV-2 infections could create new opportunities for the development and improvement of new therapeutics. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, SARS-CoV-2, microRNA, host–virus interaction Identifier An unambiguous reference to the resource within a given context 10.7717/peerj.9369 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 Medicine http://socictopen.socict.org/files/original/354544e6394e238c3fa4c8a251907c32.pdf d0ec6ee921d4fd222b2c6ef373168abb 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 Computational Modeling of SAR and Heat Distribution in Lossy Medium at GSM Frequencies Creator An entity primarily responsible for making the resource Khitam Y. Elwasife Description An account of the resource In recent years, institution has increased imposition of electromagnetic radiation in many applications. This radiation react with the human tissue and may lead to harmful and injurious effects on human health. However a finite difference thermal model of lossy medium as (spinal cord of human body) has been developed to calculate temperature rises generated in the spinal cord by radiation from cellular telephones with different frequencies. The natural metabolic heat production and the power density absorbed from the electromagnetic field have been evaluated. The specific absorption rate (SAR) was derived from a finite difference time domain model (FDTD) of the spinal cord. This is a numerical analysis is technique used for modeling computational electrodynamics. Aside from the specific absorption rate, through the exposure of radiation is an extremely important parameter while assessing the effects on spinal cord tissue. The heat distribution was calculated using the bioheat equation coupled with Maxwell's equation. A one dimensional finite difference time domain method has been used, some simulations for electromagnetic wave through the spinal cord tissue is made using software program. Also for the simulation, the dielectric properties supposed medium are directly taken by numerical program. Results show that electromagnetic fields penetrate the life tissues and attenuate fast to reach zero at large time steps. Specific absorption rate show maximum at the first boundary of tissue and becomes less value by using high frequency. The absorbent power and specific absorption rate show maximum at the interface of tissue, and the technique developed may be used to estimate temperature rises associated with specific absorption rate (SARs) for different types of radiation. Also, the results note that low-frequency waves have significantly affected the biological tissue. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource global system mobile radiation, FDTD, spinal human body tissue, SAR Identifier An unambiguous reference to the resource within a given context DOI: 10.26565/2312-4334-2018-4-14 Source A related resource from which the described resource is derived East European Journal of Physics Publisher An entity responsible for making the resource available V.N. Karazin Kharkiv National University Publishing Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Physics Language A language of the resource EN, RU, UK http://socictopen.socict.org/files/original/beb58663763f957b04eafa7e75b12094.pdf 294d1600b38905cd9d9897107f9474ba 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 Computational View toward the Inhibition of SARS-CoV-2 Spike Glycoprotein and the 3CL Protease Creator An entity primarily responsible for making the resource Qian Chen, Hongtao Zhang, Hai-Feng Ji, Zhen Qiao Description An account of the resource Since the outbreak of the 2019 novel coronavirus disease (COVID-19), the medical research community is vigorously seeking a treatment to control the infection and save the lives of severely infected patients. The main potential candidates for the control of viruses are virally targeted agents. In this short letter, we report our calculations on the inhibitors for the SARS-CoV-2 3CL protease and the spike protein for the potential treatment of COVID-19. The results show that the most potent inhibitors of the SARS-CoV-2 3CL protease include saquinavir, tadalafil, rivaroxaban, sildenafil, dasatinib, etc. Ergotamine, amphotericin b, and vancomycin are most promising to block the interaction of the SARS-CoV-2 S-protein with human ACE-2. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource protease, inhibition, coronavirus, spike protein, computational, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/computation8020053 Source A related resource from which the described resource is derived Computation 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 Electronic computers. Computer science http://socictopen.socict.org/files/original/a802d7ed292769930e9ae81ac6876353.pdf 294d1600b38905cd9d9897107f9474ba 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 Computational View toward the Inhibition of SARS-CoV-2 Spike Glycoprotein and the 3CL Protease Creator An entity primarily responsible for making the resource Hai-Feng Ji, Zhen Qiao, Hongtao Zhang, Qian Chen Description An account of the resource Since the outbreak of the 2019 novel coronavirus disease (COVID-19), the medical research community is vigorously seeking a treatment to control the infection and save the lives of severely infected patients. The main potential candidates for the control of viruses are virally targeted agents. In this short letter, we report our calculations on the inhibitors for the SARS-CoV-2 3CL protease and the spike protein for the potential treatment of COVID-19. The results show that the most potent inhibitors of the SARS-CoV-2 3CL protease include saquinavir, tadalafil, rivaroxaban, sildenafil, dasatinib, etc. Ergotamine, amphotericin b, and vancomycin are most promising to block the interaction of the SARS-CoV-2 S-protein with human ACE-2. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource coronavirus, spike protein, covid-19, Protease, inhibition, computational Identifier An unambiguous reference to the resource within a given context 10.3390/computation8020053 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 Electronic computers. Computer science