02146nas a2200157   4500008004100000020002200041245009200063210006900155260003000224300001400254520161800268100002701886700001901913700001501932856004101947       2021                        eng d  a978-1-0716-1366-500aOnline tools and antiviral databases for the development of drugs against coronaviruses0 aOnline tools and antiviral databases for the development of drug  aNew York, NYbSpringer US  a717–7343 aThe current crisis of coronavirus pandemic has created an urgent need for readily available scientific information to the researchers, students, professionals, and journalists. The scientific information for the research is costly, and most of the universities and research institutes cannot afford to subscribe to all the coronavirus-related journals/articles during this crisis time. In order to expedite the process of vaccine development and discovery of anti-COVID drugs, most of the pharmaceutical companies, research institutes and publishers are playing a key role and working on war footing to get either a vaccine or an anti-COVID drug as early as possible. The collective efforts are required from everyone in this testing time of the corona crisis. To provide our contribution to the scientific community, we have made here an attempt to give an overview of some of the tools and resources freely available that probably provide some insights in data mining and screening of novel lead molecules toward coronavirus. We have collected and compiled the information of open access online tools and antiviral databases essential for the discovery and development of corona vaccine and anti-COVID drugs. The open access tools include Open Educational Resources (OERs), Google cloud, online prediction server, web-based viewer, etc., while the antiviral databases include libraries of synthetic and untested compounds, antiviral drug databases, antiviral peptides, etc. The information presented in this chapter will help the researchers to use them directly in their projects of coronavirus drug discovery.1 aAher, Rahul, Balasaheb1 aSarkar, Dhiman1 aRoy, Kunal  uhttps://doi.org/10.1007/7653_2020_48