In-silico strategies to combat COVID-19: A comprehensive review
Soumya Basu, Sudha Ramaiah, Anand Anbarasu
Abstract
approaches concerning COVID-19 to discuss the relevant bioinformatics and computational resources, tools, patterns of research, outcomes generated so far and their future implications to efficiently model data based on epidemiology; identify drug targets to design new drugs; predict epitopes for vaccine design and conceptualize diagnostic models. Artificial intelligence/machine learning can be employed to accelerate the research programs encompassing all the above urgent needs to counter COVID-19 and similar outbreaks.
Topics & Concepts
PandemicCoronavirus disease 2019 (COVID-19)OutbreakProcess (computing)Computer scienceData scienceRisk analysis (engineering)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseaseOperations researchMedicineInfectious disease (medical specialty)VirologyEngineeringPathologyOperating systemSARS-CoV-2 and COVID-19 ResearchCOVID-19 diagnosis using AIvaccines and immunoinformatics approaches