Abstract:
in this work we are trying to speed up the process of finding a cure for SARS-CoV-2 since
SARS-CoV-2 have impacted our society due to the global pandemic which have affected the
education, economy, world heath care and deaths caused by the virus due to the long time
taken by drug discovery pipeline which is between 10 to 12 yeas for a drug to be develop and
the enormous cost of the drug discovery pipeline and the low success rate of drug passing
the FDA approve in the have motivated us to design a deep learning solution for designing a
drug in fraction of the time required and for the current event done by the SARS-CoV-2 the
target for this proposed solution will be SARS-CoV-2 the proposed solution is consist of two
model one for generative molecules and the other for predicting the affinity of the molecule
toward SARS-CoV-2 the proposed solution achieved a generation of molecules with average
affinity of -9.8 and a prediction of accuracy of 98.1625% toward SARS-CoV-2, the proposed
solution could reduce the drug discovery pipeline which is between 10 to 12 yeas to only 1
to 3 yeas for any novel virus.
