《bioRxiv,5月24日,COVIDep: A web-based platform for real-time reporting of vaccine target recommendations for SARS-CoV-2》

  • 来源专题:COVID-19科研动态监测
  • 编译者: xuwenwhlib
  • 发布时间:2020-05-25
  • COVIDep: A web-based platform for real-time reporting of vaccine target recommendations for SARS-CoV-2

    View ORCID ProfileSyed Faraz Ahmed, View ORCID ProfileAhmed A. Quadeer, View ORCID ProfileMatthew R. McKay

    doi: https://doi.org/10.1101/2020.05.23.111385

    Abstract

    We introduce COVIDep (https://COVIDep.ust.hk), a web-based platform that provides immune target recommendations for guiding SARS-CoV-2 vaccine development. COVIDep implements a protocol that pools together publicly-available genetic data for SARS-CoV-2 and epitope data for SARS-CoV to identify B cell and T cell epitopes that present potential immune targets for SARS-CoV-2. Correspondences between outputs of COVIDep and emerging experimental results are also indicated. The platform is user-friendly, flexible, and based on up-to-date data. It may help guide vaccine designs and associated experimental studies for SARS-CoV-2.

  • 原文来源:https://www.biorxiv.org/content/10.1101/2020.05.23.111385v1
相关报告
  • 《5月24日_香港科技大学开发一个基于Web的平台COVIDep以用于实时报告SARS-CoV-2疫苗靶标建议》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-05-26
    • 1.时间:2020年5月24日 2.机构或团队:香港科技大学 3.事件概要: bioRxiv预印平台于5月24日发布了香港科技大学的文章“COVIDep: A web-based platform for real-time reporting of vaccine target recommendations for SARS-CoV-2”,研究人员开发了一个基于网络的平台COVIDep(https://COVIDep.ust.hk),该平台可提供免疫靶点建议,以指导SARS-CoV-2疫苗的开发。 COVIDep实现了一个协议,该协议将SARS-CoV-2的公共可用遗传数据与SARS-CoV的表位数据集中在一起,以识别代表SARS-CoV-2潜在免疫靶标的B细胞和T细胞表位。COVIDep还可实现COVIDep的输出结果与新兴实验结果之间的对应关系。文章表示,该平台用户友好,灵活并且基于最新数据,可能有助于指导SARS-CoV-2的疫苗设计和相关实验研究。 *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用。 4.附件: 原文链接:https://www.biorxiv.org/content/10.1101/2020.05.23.111385v1
  • 《LANCET,2月19日,An interactive web-based dashboard to track COVID-19 in real time》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-02-20
    • An interactive web-based dashboard to track COVID-19 in real time Ensheng Dong, Hongru Du, Lauren Gardner Published:February 19, 2020DOI:https://doi.org/10.1016/S1473-3099(20)30120-1 In December, 2019, a local outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and was quickly determined to be caused by a novel coronavirus,1 namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has since spread to every province of mainland China as well as 27 other countries and regions, with more than 70?000 confirmed cases as of Feb 17, 2020.2 In response to this ongoing public health emergency, we developed an online interactive dashboard, hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA, to visualise and track reported cases of coronavirus disease 2019 (COVID-19) in real time. The dashboard, first shared publicly on Jan 22, illustrates the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries. It was developed to provide researchers, public health authorities, and the general public with a user-friendly tool to track the outbreak as it unfolds. All data collected and displayed are made freely available, initially through Google Sheets and now through a GitHub repository, along with the feature layers of the dashboard, which are now included in the Esri Living Atlas.