[Retracted] A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19

Table 1

Summary of the application of machine learning in drugs discovery.

Reference	Study approach	Advantage	Challenge
[67]	Deep learning-based computational drug discovery	The generated molecules could serve as a good drug potential for SARS CoV and COVID-19. The results also show that a deep learning model is important in testing the current compound and obtaining a new molecule for use in COVID-19 drugs	By utilizing limited data for model training, there could be a degree of error due to inaccuracies in parameter values
[68]	Target-specific and selective drug design for COVID-19 using a deep generative model	The framework can take care of candidate generations for multiple targets by employing trained mode. Besides, it can also permit explicit accounting for offtarget selectivity	Large scale data size is required for an effective study