ABSTRACT
The upsurge of the severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) has turned into a global health disaster. Many remodeled medications were suggested for treatment in the early stages of this pandemic, but these dosages afterward came across with distinct offshoots. Thus, these consequences compelled the scientists to develop new drugs using various antiviral, antiinflammatory, antibacterial, and phytochemical compounds. A handful of drugs have been scrutinized in silico, in vitro, plus through human trials such as anti-SARS-CoV-2 agents and made available as various databases by various scientific communities. The SARS-CoV-2 pandemic databases are designed to allay difficulties associated with this scenario. Some of the popular databases are GESS (global evaluation of SARS-CoV-2/HCoV-19 sequences) which gives a thorough study of data based on tenfold of thousands of complete coverage and quality of SARS-CoV-2 genomes, CORona Drug InTERactions (CORDITE) database for SARS-CoV-2 which profoundly combines the understanding of potential drugs and make it available for scientists and medicos. SARSCOVIDB set one’s sights to merge all differential gene expression data, at mRNA and protein levels, helping to accelerate analysis and research on the molecular impact of covid-19. This chapter aims to provide a piece of complete information about the SARS-CoV-2 virus databases, potentially available drugs, and virtual screening methods. And also provides a different webserver to reach out for information related to the COVID-19 pandemic and its future. © 2022 Elsevier Inc. All rights reserved.
ABSTRACT
With the development of mankind and growth of our civilization, more and more need is felt for exploration of and working in hazardous environments. The fast development of technology and capability to perform complex computing has made it possible for mankind to remotely perform some work which would otherwise require manual working in close proximity of hazardous environment. Thus mankind has been able to develop remotely controlled vehicle to explore the hazardous environment. A semi-autonomous Remotely Operated Vehicle (ROV) is developed in the present work. A webcam and sensors mounted on the ROV transmits the picture of the immediate neighbourhood and data collected by sensors, to the computer stationed in a remote control room using a Arduino and a few other modules. The picture and sensor data are presented to the operator by a Man Machine Interface. The operator remotely controls the movement of the ROV using a Joystick interfaced to the computer. The ROV has been successfully tested in an infectious disease ward ( like covid ward) of a hospital to deliver medicine, food, clothes and goods to the patients who are suffering from infectious disease by a health care person controlling the ROV from a remote control room. © 2022 IEEE.