Due to SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) being a novel virus, there are currently no known effective antiviral drugs capable of slowing its progress. To accelerate the discovery of potential drug candidates, bioinformatics based in silico drug discovery can be applied as a very robust tool. In the present study, more than 60 antiviral drugs already available on the market, were chosen after literature survey. These can be used in clinical trials for the treatment of COVID-19. In this study, these candidate drugs were ranked based on their potential to interact with the Spike protein and RdRp (RNA-dependent RNA polymerase) of SARS-CoV-2. Additionally, the mechanism of their action as well as how the virus infection can utilize Hemoglobin to decrease the oxygen level in blood is explained. Moreover, multiple sequence alignments of the Spike protein with 75 sequences of different viruses from the Orthocoronavirinae subfamily were performed. This gives insight into the evolutionarily conserved domains that can be targeted using drug or antibody treatment. This multidimensional study opens a new layer of understanding about the most effective drug-targetable sites on the Spike protein of SARS-CoV-2.

Our team has spent over 20 years gathering observational data from citizen scientists and conducting research and development to create a new approach to learning called "quantum social learning" or QSL. QSL focuses on the most subtle aspects of human experience, known as qualia, which include intuitions, thoughts, feelings, sensations, and perceptions. Our interpretation of quantum theory is centered around studying these qualia and understanding them as the basis of social interaction. Through our transdisciplinary framework, called "inside out learning experience ecosystem" or IOLEE, we aim to help learners extend their language skills to include both the visible and invisible aspects of reality, simultaneously from the subjective and the objective. Quantum social learning involves a continuous process of self-reflection, evaluation, and testing to improve the learner's capacity to restore the most natural inclusive flow, individually and collectively.