596 10 20655 http://socictopen.socict.org/files/original/0ef5cffb770cf89530fd27eb5a88e260.pdf 1eaab567dd980a11732e809f7d2e7b33 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 Design of 3D Printing Thermo-Sensored Medical Gear in Detecting COVID-19 Symptoms Creator An entity primarily responsible for making the resource Milena Djukanović, Ardijan Mavrić, Jovana Jovanović, Milovan Roganović, Velibor Bošković Description An account of the resource Shortly after the outbreak of the COVID-19 pandemic, there was a need to provide protective equipment to the medical facilities whose supplies were threatened to be depleted. Just like many countries in Europe, Montenegro responded to the need for medical equipment by using the advantages of 3D printers while establishing a state network of production hubs, ensuring closed connectivity, communication, and the mutual fulfilment of personal protective equipment (PPE) demands whenever and wherever required. With the second wave of the pandemic, Montenegro rose to second place in the world with the number of coronavirus cases, which also led to an increasing number of infected medical staff. Since fever is a frequent symptom of SA+RS-CoV2 infection, a type of innovative 3D-printed thermo-sensored medical gear has been designed and tested in hospital conditions. This medical gear shaped like a bracelet, which changes color in the presence of high human body temperatures, proves to be efficient and easy to use for medical staff as well as patients. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, 3D printing, additive manufacturing, thermo-sensored filament, 3D printing medical gear Identifier An unambiguous reference to the resource within a given context 10.3390/app11010419 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 Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics http://socictopen.socict.org/files/original/7235b5f8031c4751059307d9f542c0a8.pdf 65c621cc06b6a3f3b9da0cc9422946da 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 Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach Creator An entity primarily responsible for making the resource Mujahed I. Mustafa, Naseem S. Murshed, Abdelrahman H. Abdelmoneim, Miyssa I. Abdelmageed, Nafisa M. Elfadol, Abdelrafie M. Makhawi, Shaza W. Shantier Description An account of the resource Background. A new endemic disease has spread across Wuhan City, China, in December 2019. Within few weeks, the World Health Organization (WHO) announced a novel coronavirus designated as coronavirus disease 2019 (COVID-19). In late January 2020, WHO declared the outbreak of a “public-health emergency of international concern” due to the rapid and increasing spread of the disease worldwide. Currently, there is no vaccine or approved treatment for this emerging infection; thus, the objective of this study is to design a multiepitope peptide vaccine against COVID-19 using an immunoinformatics approach. Method. Several techniques facilitating the combination of the immunoinformatics approach and comparative genomic approach were used in order to determine the potential peptides for designing the T-cell epitope-based peptide vaccine using the envelope protein of 2019-nCoV as a target. Results. Extensive mutations, insertion, and deletion were discovered with comparative sequencing in the COVID-19 strain. Additionally, ten peptides binding to MHC class I and MHC class II were found to be promising candidates for vaccine design with adequate world population coverage of 88.5% and 99.99%, respectively. Conclusion. The T-cell epitope-based peptide vaccine was designed for COVID-19 using the envelope protein as an immunogenic target. Nevertheless, the proposed vaccine rapidly needs to be validated clinically in order to ensure its safety and immunogenic profile to help stop this epidemic before it leads to devastating global outbreaks. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.1155/2020/2683286 Source A related resource from which the described resource is derived BioMed Research International Publisher An entity responsible for making the resource available Hindawi Limited 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/4f91a98e2a6331490c66bf0bcb532243.pdf bee70b3276e4480c23c93dc281302fb6 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 Design of an epitope-based peptide vaccine against spike protein of human coronavirus: an in silico approach Creator An entity primarily responsible for making the resource Oany AR, Emran AA, Jyoti TP Description An account of the resource Arafat Rahman Oany,1 Abdullah-Al Emran,1,2 Tahmina Pervin Jyoti3 1Department of Biotechnology and Genetic Engineering, Life Science Faculty, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh; 2Translational Research Institute, University of Queensland, Brisbane, Australia; 3Biotechnology and Genetic Engineering Discipline, Life Science School, Khulna University, Khulna, Bangladesh Abstract: Human coronavirus (HCoV), a member of Coronaviridae family, is the causative agent of upper respiratory tract infections and “atypical pneumonia”. Despite severe epidemic outbreaks on several occasions and lack of antiviral drug, not much progress has been made with regard to an epitope-based vaccine designed for HCoV. In this study, a computational approach was adopted to identify a multiepitope vaccine candidate against this virus that could be suitable to trigger a significant immune response. Sequences of the spike proteins were collected from a protein database and analyzed with an in silico tool, to identify the most immunogenic protein. Both T cell immunity and B cell immunity were checked for the peptides to ensure that they had the capacity to induce both humoral and cell-mediated immunity. The peptide sequence from 88–94 amino acids and the sequence KSSTGFVYF were found as the most potential B cell and T cell epitopes, respectively. Furthermore, conservancy analysis was also done using in silico tools and showed a conservancy of 64.29% for all epitopes. The peptide sequence could interact with as many as 16 human leukocyte antigens (HLAs) and showed high cumulative population coverage, ranging from 75.68% to 90.73%. The epitope was further tested for binding against the HLA molecules, using in silico docking techniques, to verify the binding cleft epitope interaction. The allergenicity of the epitopes was also evaluated. This computational study of design of an epitope-based peptide vaccine against HCoVs allows us to determine novel peptide antigen targets in spike proteins on intuitive grounds, albeit the preliminary results thereof require validation by in vitro and in vivo experiments. Keywords: vaccinomics, HLA, atypical pneumonia, allergenicity, docking Date A point or period of time associated with an event in the lifecycle of the resource 2014 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Drug Design, Development and Therapy Publisher An entity responsible for making the resource available Dove Medical Press Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Therapeutics. Pharmacology Language A language of the resource EN http://socictopen.socict.org/files/original/a03642465754f38461ced6320142c525.pdf c99ab34037640aa35ba83d33bdc27496 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 Design of an epitope-based peptide vaccine against the SARS-CoV-2: a vaccine-informatics approach. Creator An entity primarily responsible for making the resource Aftab Alam, Arbaaz Khan, Nikhat Imam, Mohd Faizan Siddiqui, Mohd Waseem, Md Zubbair Malik, Romana Ishrat Description An account of the resource The recurrent and recent global outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has turned into a global concern which has infected more than 42 million people all over the globe, and this number is increasing in hours. Unfortunately, no vaccine or specific treatment is available, which makes it more deadly. A vaccine-informatics approach has shown significant breakthrough in peptide-based epitope mapping and opens the new horizon in vaccine development. In this study, we have identified a total of 15 antigenic peptides [including thymus cells (T-cells) and bone marrow or bursa-derived cells] in the surface glycoprotein (SG) of SARS-CoV-2 which is nontoxic and nonallergenic in nature, nonallergenic, highly antigenic and non-mutated in other SARS-CoV-2 virus strains. The population coverage analysis has found that cluster of differentiation 4 (CD4+) T-cell peptides showed higher cumulative population coverage over cluster of differentiation 8 (CD8+) peptides in the 16 different geographical regions of the world. We identified 12 peptides ((LTDEMIAQY, WTAGAAAYY, WMESEFRVY, IRASANLAA, FGAISSVLN, VKQLSSNFG, FAMQMAYRF, FGAGAALQI, YGFQPTNGVGYQ, LPDPSKPSKR, QTQTNSPRRARS and VITPGTNTSN) that are $80\hbox{--} 90\%$ identical with experimentally determined epitopes of SARS-CoV, and this will likely be beneficial for a quick progression of the vaccine design. Moreover, docking analysis suggested that the identified peptides are tightly bound in the groove of human leukocyte antigen molecules which can induce the T-cell response. Overall, this study allows us to determine potent peptide antigen targets in the SG on intuitive grounds, which opens up a new horizon in the coronavirus disease (COVID-19) research. However, this study needs experimental validation by in vitro and in vivo. 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, epitope prediction, allergenicity, Immunogenicity, population coverage, T- and B-cell, vaccinomics Identifier An unambiguous reference to the resource within a given context 10.1093/bib/bbaa340 Source A related resource from which the described resource is derived Briefings in bioinformatics http://socictopen.socict.org/files/original/1ec8849be26e3ec750750b39adf84051.pdf 3a89ef74b4bf685e2311f014744349d8 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 Design of Novel ETL Model to Analyse Corona Virus Data Creator An entity primarily responsible for making the resource Amit Dewangan, S.M. Ghosh, Akhilesh Shrivas Description An account of the resource INTRODUCTION:The corona disease was first recognized in 2019 in Wuhan, which is the capital of China’s Hubei-province,and from then it continued spreading and as a result declared as a pandemic by all nations. The COVID-19virus has different effects on people in various ways. It is a kind of respiratory disease. The confirmed casesare increasing day to day in India, which leads to complete lockdown throughout the nation.OBJECTIVE:The objective of this research is to design a novel Extract-Trandform and Load NETL model to analyse covid19 data in india.METHODS:The extraction of useful information from a large database is a well-connected research field of text mining.This paper is proposed a novel extract-transform-load ETL model to process the COVID-19 data of India toget the exact recovery data from the multiple data sources from different states of India. In this, a knowledgebased model that generate knowledge based on three different module split, validation, and join is discussed.RESULTS:The outcomes of the proposed NETL process are, output file which has the description of total positive cases,active cases, recovery cases, and death rate, based on different regions. The analysis of NETL is done basedon accuracy, failure count, and execution time. The proposed NETL process is more accurate and taking lesscompilation time with minimum failure count as compared with existing models.CONCLUSION:To analyze the coronavirus data in India, a novel ETL (NETL) model is proposed. In this model, a total of 9CSV files is processed as input files to get different results in different categories. This model is having threemodules namely splitting, verification, and join. The dataset is split into based on its coupling attributes andthen joined with a single value to produce the updated results as per the current dataset. The last stage of thisprocess is to join the data which is generated through splitting. The proposed NETL model is more accurateas compared with existing ETM models. 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, covid-19, Pandemic, text mining, Data analytics, ETL Identifier An unambiguous reference to the resource within a given context 10.4108/eai.13-7-2018.165671 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, Medical technology http://socictopen.socict.org/files/original/0dcd5d30012d6a60a7fd8b108920b849.pdf 54eba566834f2171a5cbc6da759f3dab 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 Design of wide-spectrum inhibitors targeting coronavirus main proteases. Creator An entity primarily responsible for making the resource Haitao Yang, Wei-Qing Xie, Xiaoyu Xue, Kai-Lin Yang, Jing Ma, Wen-Xue Liang, Qi Zhao, Zhe Zhou, Duanqing Pei, John Ziebuhr, Rolf Hilgenfeld, Kwok-yung Yuen, Luet Wong, Guangxia Gao, Sai-Juan Chen, Zhu Chen, Dawei Ma, Mark Bartlam, Zihe Rao Description An account of the resource The genus Coronavirus contains about 25 species of coronaviruses (CoVs), which are important pathogens causing highly prevalent diseases and often severe or fatal in humans and animals. No licensed specific drugs are available to prevent their infection. Different host receptors for cellular entry, poorly conserved structural proteins (antigens), and the high mutation and recombination rates of CoVs pose a significant problem in the development of wide-spectrum anti-CoV drugs and vaccines. CoV main proteases (M(pro)s), which are key enzymes in viral gene expression and replication, were revealed to share a highly conservative substrate-recognition pocket by comparison of four crystal structures and a homology model representing all three genetic clusters of the genus Coronavirus. This conclusion was further supported by enzyme activity assays. Mechanism-based irreversible inhibitors were designed, based on this conserved structural region, and a uniform inhibition mechanism was elucidated from the structures of Mpro-inhibitor complexes from severe acute respiratory syndrome-CoV and porcine transmissible gastroenteritis virus. A structure-assisted optimization program has yielded compounds with fast in vitro inactivation of multiple CoV M(pro)s, potent antiviral activity, and extremely low cellular toxicity in cell-based assays. Further modification could rapidly lead to the discovery of a single agent with clinical potential against existing and possible future emerging CoV-related diseases. Date A point or period of time associated with an event in the lifecycle of the resource 2005 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pbio.0030324 Source A related resource from which the described resource is derived PLoS Biology 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 Biology (General) Language A language of the resource EN http://socictopen.socict.org/files/original/ba3c2cae5e94b45f373951138f0183cf.pdf 4a1df686ae9b7ae7d0682935eb551235 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 Design, Synthesis and Antifungal Activity of Novel Benzofuran-Triazole Hybrids Creator An entity primarily responsible for making the resource Zhen Liang, Hang Xu, Ye Tian, Mengbi Guo, Xin Su, Chun Guo Description An account of the resource A series of novel benzofuran-triazole hybrids was designed and synthesized by click chemistry, and their structures were characterized by HRMS, FTIR and NMR. The in vitro antifungal activity of target compounds was evaluated using the microdilution broth method against five strains of pathogenic fungi. The result indicated that the target compounds exhibited moderate to satisfactory activity. Furthermore, molecular docking was performed to investigate the binding affinities and interaction modes between the target compound and N-myristoyltransferase. Based on the results, preliminary structure activity relationships (SARs) were summarized to serve as a foundation for further investigation. Date A point or period of time associated with an event in the lifecycle of the resource 2016 Subject The topic of the resource Antifungal activity, N-myristoyltransferase, benzofuran, 1, 2, 3-triazole, Click chemistry, molecule hybrid Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/molecules21060732 Source A related resource from which the described resource is derived Molecules 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 Organic chemistry Language A language of the resource EN http://socictopen.socict.org/files/original/00f84172e8b39a9e4726dfc70518465e.pdf 16d20c3480f18df335b7e77b2e34afeb 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 Design, Synthesis and Biological Evaluation of Novel Bromophenol Derivatives Incorporating Indolin-2-One Moiety as Potential Anticancer Agents Creator An entity primarily responsible for making the resource Lijun Wang, Shuaiyu Wang, Bo Jiang, Ning Wu, Xiangqian Li, Baocheng Wang, Jiao Luo, Meng Yang, Shui-Hua Jin, Dayong Shi Description An account of the resource A series of bromophenol derivatives containing indolin-2-one moiety were designed and evaluated that for their anticancer activities against A549, Bel7402, HepG2, HeLa and HCT116 cancer cell lines using MTT assay in vitro. Among them, seven compounds (4g–4i, 5h, 6d, 7a, 7b) showed potent activity against the tested five human cancer cell lines. Wound-healing assay demonstrated that compound 4g can be used as a potent compound for inactivating invasion and metastasis by inhibiting the migration of cancer cells. The structure–activity relationships (SARs) of bromophenol derivatives had been discussed, which were useful for exploring and developing bromophenol derivatives as novel anticancer drugs. Date A point or period of time associated with an event in the lifecycle of the resource 2015 Subject The topic of the resource bromophenol, indolin-2-one, anticancer, molecular hybrid, structure–activity relationship Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/md13020806 Source A related resource from which the described resource is derived Marine Drugs 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 Biology (General) Language A language of the resource EN http://socictopen.socict.org/files/original/f1fb6f9c0f282175767ea28556943ab0.pdf ac2422ee862c680092f663383613285e 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 Design, Synthesis and Biological Evaluation of Novel Phenylsulfonylurea Derivatives as PI3K/mTOR Dual Inhibitors Creator An entity primarily responsible for making the resource Bingbing Zhao, Fei Lei, Caolin Wang, Binliang Zhang, Zunhua Yang, Wei Li, Wufu Zhu, Shan Xu Description An account of the resource Five series of novel phenylsulfonylurea derivatives, 19a–d, 20a–d, 21a–d, 22a–d and 23a–d, bearing 4-phenylaminoquinoline scaffold were designed, synthesized and their IC50 values against four cancer cell lines (HepG-2, A549, PC-3 and MCF-7) were evaluated. Most compounds showed moderate cytotoxicity activity against the cancer cell lines. Structure–activity relationships (SARs) and pharmacological results indicated that introduction of 4-aminoquinoline scaffold and phenylsulfonylurea scaffold were beneficial for anti-tumor activity. Moreover, para-methoxyl substitution of 4-anilino moiety and para-halogen substitution of phenylsulfonylurea have different impacts on different series of compounds. Furthermore, the micromolecule group substitution in the 6-position of the quinoline ring have a slight impact on the cellular activity of the target compounds. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource 4-phenylaminoquinoline, phenylsulfonylurea, PI3K/mTOR, inhibitor Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/molecules23071553 Source A related resource from which the described resource is derived Molecules 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 Organic chemistry Language A language of the resource EN http://socictopen.socict.org/files/original/370cf67fb8b9e897f270bb23b979e6b0.pdf 98371c87e53664e2b5383bbe477087ff 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 Design, synthesis and biological evaluation of novel piperazine derivatives as CCR5 antagonists. Creator An entity primarily responsible for making the resource Tao Liu, Zhiyong Weng, Xiaowu Dong, Linjie Chen, Ling MA, Shan Cen, Naiming Zhou, Yongzhou Hu Description An account of the resource By using a fragment-assembly strategy and bioisosteric-replacement principle, a series of novel piperazine derivatives were designed, synthesized, and evaluated for their cellular target-effector fusion activities and in vitro antiviral activities against HIV-1. Preliminary structure-activity relationships (SARs) of target compounds were concluded in this study, and five compounds were found to exhibited medium to potent CCR5 fusion activities with IC(50) values in low micromolar level. Among evaluated compounds, 23 h was found to be a CCR5 antagonist with an IC(50) value of 6.29 µM and an anti-HIV-1 inhibitor with an IC(50) value of 0.44 µM. 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.0053636 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